SIMULIA Regional User Meetings
Great Lakes Regional User Meeting
Bjorn van Uem
The Virtual Engineering Hub, MBS Development Group Leader, Jaguar Land Rover
Multi-body dynamics and vehicle dynamics expert within the automotive and motor racing industry, with more than 15 years’ experience in multi body simulation for a broad range of applications, such as ride comfort, handling, durability, powertrain, driveline, integration with control systems and driving simulators.
In recent years I’ve been responsible for standardizing, advancing and rolling out MBS simulation across many departments within Jaguar Land Rover, to improve the efficiency of the product development process and facilitate well informed engineering decisions.
- MBS Development Group Leader at Jaguar Landrover, Gaydon (July 2015 to present)
- Mechanical Simulation Engineer at Mercedes AMG HPP, Brixworth (January 2015 to June 2015)
- Technical Director at SIMPACK UK, Leicester (June 2003 to January 2015)
- Vehicle Dynamicist at Jordan Grand Prix, Silverstone (July 2001 to May 2003)
- R&D Engineer at Reynard Motorsport, Brackley (October 2000 to June 2001)
- Project Engineer at CAM UK, Northampton (January 99 to September 2000)
1992 - 1998
University of Twente, Enschede, The Netherlands
1985 - 1992
Marianum, Groenlo, The Netherlands
Centralized CAE Methods Development and Virtual Prototyping at Jaguar Land Rover
As virtual engineering becomes more and more important in the product development process, JLR has created a new organizational structure with a new central Virtual Engineering Hub to manage CAE methods development and virtual prototyping, with the aim of improving the quality of CAE and its contribution to the overall product development process. More efficient CAE processes enable robust engineering decisions to be made during early phases of a vehicle programme thus avoiding very costly changes later on, whilst also improving the quality of our products.
As part of the process, the Virtual Engineering Hub has adopted and deployed the Simpack Wizard concept. The Virtual Engineering Hub produces and distributes simulation scenarios and vehicle models and develops new simulation methods.
The organizational structure and processes that were put in place for centralized model build and methods development will be presented as well as the reasons for choosing Simpack and employing the Simpack Wizard concept.
In addition an overview of the automotive database developed at JLR will be given and examples shown.
Chao Pu, PhD
Research Engineer, AK Steel Corporation
Dr. Chao Pu joined AK Steel Corporation as a research engineer in 2016. His work focuses on the numerical analysis for the sheet metal formability and material characterization. He received his bachelor degree in Engineering Mechanics from Shanghai Jiaotong University and Ph.D. degree in Materials Science from University of Tennessee with the concentration of solid mechanics. He has extensive experiences with structural analysis using ABAQUS, pre/post processing scripting and advanced material modeling with user-subroutine.
A Numerical Approach for Diffusion-coupled Cohesive Interface Simulations of Stress Corrosion Cracking at Multiple Length Scales
A numerical approach for coupling stress-assisted diffusional process and corrosion induced cracking is proposed it this work. This simulation methodology considers the synergistic effects of impuritiy diffusion driven by material pressure gradient and degradation of material interfacial strength based on concentration distributions. The numerical scheme is implemented in the user-defined cohesive zone model (CZM) through ABAQUS user-subroutine interfaces. In microscopic model, the diffusion-coupled CZM is integrated with crystal plasticity finite element model (CPFEM) to simulate intergranular fracture of polycrystalline materials under corrosive environment. Another continuum simulation is conducted to uncover the environmental effects on material degradation along pre-existing cracks at large length scale. The impurity accumulation driven by the significantly heterogeneous stress field is observed at certain "hot spot" where the cracks are preferentially initiated. The competition of impurity transportation and external loading condition is revealed in the simulation and it will result in crack initiation under different fracture modes.
Dr. David Curry
Principal Engineer, EDEM
David is Principal Engineer at EDEM. He joined EDEM in 2006 and since then has worked with clients in a range of sectors to help them use bulk materials simulation effectively as part of their day-to-day design processes. In his current role, David focuses on the development and deployment of co-simulation tools that link EDEM software with other leading CAE methods including Abaqus finite element analysis.
Optimized Equipment Design using the EDEM-Abaqus Coupling
Engineers designing heavy equipment such as front-end loaders, truck bodies and bulldozers are challenged by the complex nature of the material that their machines will face. Real bulk materials – such as gravel, clay, and mined ores – are complex in their behaviors and it is very difficult for engineers to predict exactly how they will behave using hand calculation and approximation. This can lead to non-optimal designs being produced which require extensive physical prototyping to ensure project requirements are met.
EDEM® is the market leading tool for simulating bulk materials such as coal, mined ores, soil, and chemical products. It provides engineers with crucial engineering insight into how bulk materials will interact with equipment during a range of operation and process conditions. The EDEM-Abaqus coupling means engineers can replace simplified material assumptions, with realistic material behaviors and loads as standard in their FEA analysis. This delivers greater understanding of equipment performance ahead of prototyping and means improved design accuracy.
In this presentation we will introduce the EDEM-Abaqus coupling, explain how it works, and show examples of how it delivers additional insight into equipment performance.
Gavin Song, PH.D.
Advanced Architecture System Engineer, Ford Motor Company
Dr. Gavin Song is working in Ford Motor Company Global Chassis Engineering as Advanced Architecture System Engineer and CAE program lead to develop new architecture of chassis system in luxury and electrical vehicle. He is also taking the responsibility as CAE mentor and training instructor in global CAE training for Ford chassis engineer. He has 18 years’ engineering program management and CAE experience in commercial vehicle and defense industry, with most of it focusing on durability and NVH, and some on vehicle dynamics, and safety. His journal and conference publications cover various areas, like durability, NVH, safety, and optimization. Since 2006, he organized CAE program including sessions in durability CAE, NVH CAE, safety CAE, vehicle dynamics, and military ground vehicle modeling and simulation in SAE World Congress, organized and moderated 2014 and 2017 NVH Technical Expert Panel Discussion in SAE World Congress, and is organizing NVH sessions in SAE 2017 Noise and Vibration Conference and Exhibition. He is the member of SAE Material Modeling and Technology Committee and SAE NVH General Committee. He is the recipient of 2014 SAE Forest McFarland Award and 2016 Ford Motor Company Vehicle Engineering Technical Innovation Excellence Award. Dr. Song graduated from Wayne State University with PH.D. and University of Cincinnati with M.S.
Vibration Fatigue for Chassis-Mounted, Cantilevered Components
Vehicle chassis mounted cantilevered components should meet two critical design targets: 1) NVH criterion to avoid resonance with road noise and engine vibration and 2) satisfied durability performance to avoid any incident in structure failure and dysfunction. Generally, two types of testing are performed to validate chassis mounted cantilevered component in the design process: shaker table testing and vehicle proving ground testing. Shaker table testing is a powered vibration endurance test performed with load input summarized from real proving ground data and accurate enough to replicate the physical test. The proving ground test is typically performed at critical milestones with full vehicles. Most tests are simplified lab testing to save cost and effort. CAE procedures that virtually replicate these lab tests is even more helpful in the design verification stages. A method for defining load input, Power Spectral Density or Sine Sweep, to predict the fatigue life of chassis component will be discussed. The CAE process for this topic, with an air suspension compressor support bracket as an example and Abaqus as CAE Solver, is presented for vibration stress and fatigue as well as a process to predict and correlate a vibration shaker table key life test.
Vehicle Structural Research, Reliability, Honda R&D Americas, Inc.
Ductile Fracture Prediction of Automotive Suspension Components
Characterization of the plastic and ductile fracture behavior of materials commonly used in an automotive suspension system is presented in this work. Ductile fracture testing for various coupon geometries was conducted to simulate a wide range of stress states. Failure data for the higher stress triaxiality were obtained from tension tests conducted on thin flat specimens, wide flat specimens and axisymmetric specimens with varying notch radii. The data for the lower triaxiality were generated from thin-walled tube specimens subjected to torsional loading and compression tests on cylindrical specimens. The failure envelopes for the materials were developed utilizing the test data and finite element (FE) simulations of the corresponding test specimens. Experiments provided the load-displacement response and the location of fracture initiation. FE simulations were conducted to calculate all the stress states, Lode angles and strain components at the point of fracture initiation. Finally, comparisons of the predicted fracture load with data from physical tests are presented.
Technical Sales Manager, Simpleware
Kerim Genc is the Simpleware Solution Account Manager at Synopsys Inc. He is responsible for their technical sales, strategy and business development for the US and Canada. He received his BS and MS in biomechanics from the University of Calgary and the Pennsylvania State University respectively and completed his PhD in Biomedical Engineering at Case Western Reserve University in 2011.
From 3D Image Data to Simulation
Simpleware software converts 3D image data (MRI, CT...) into models for CAD, CAE and 3D printing, and is well-established among Abaqus users wanting to generate high-quality meshes for simulation in areas such as the Life Sciences, Materials Science, Industrial Reverse Engineering, and Non-Destructive Testing.
Simpleware solves challenges for processing 3D image data, including the ability to fully reconstruct, measure and quantify image data prior to export as robust, watertight meshes for simulation. In addition, Simpleware provides CAD integration tools for combining image data with CAD models, with applications including the positioning of medical devices within patient-specific data.
In the Life Sciences, Simpleware and Abaqus represent a joint solution for working on complex anatomical data, supporting research into the processes of the human body and implant design. Other application areas include the study of patient-specific physiological and cardiovascular flows. Simpleware also provides ready-to-use human body models for carrying out different types of simulation in Abaqus, including head impact studies and stress and strain analyses.
This talk will cover the key features of Simpleware and those of the latest M-2017.07 release; it will also discuss application cases involving Simpleware and Abaqus, and how use of the software is achieving breakthroughs in different fields, including the study of materials, rock physics, and the generation of high-quality models for non-destructive testing of industrial parts, from automotive engines to aerospace components.
Manufacturing Process Engineer, Stamping Business Unit, Ford Motor Company
Mr. Huang is a manufacturing process engineer at Stamping Business Unit, Ford Motor Company. His main responsibility is to perform formability assessment for the production panel by using CAE method. He is also in charge of FLD procedure and Bead Geometry Standard (Ford North America).
- From 1998 to 2011, Mr. Huang was a Senior Staff Engineer at ArcelorMittal R&D. The primary responsibility was to promote AHSS application.
- From 1996 to 1998, he was a Sr. Manufacturing Engineer of GM. The main responsibility is the formability analysis for sheet metal panels by using FEA.
- From 1994 to 1996, he worked at Chrysler as contract engineer. The main responsibility was the FEA analysis for sheet metal panel’s formability.
In the past decade, Mr. Huang has published/presented the paper at SAE/GDIS regarding advanced high strength steel application in automotive. He also was awarded 3 trade secrets from Ford Motor Company and filed two US patents (pending) regarding forming technology.
Mr. Huang graduated from Huazhong University of Science and Technology (Wuhan, China) with a Master of Science degree.
Physical Drawbead Design and Modeling with Abaqus/Isight
This presentation discusses the design approach of how to convert the equivalent bead to the physical bead geometry. In principle, the physical character and geometry of equivalent bead is represented as a restraining force (N/mm) and a line (bead center line). During draw development, the iterations are performed to conclude the combination of restraining force that obtains the desired strain state of a given panel. The objective of physical bead design to determine a bead geometry that has the capacity to generate the same force as specified in 2D plane strain condition. The software package ABAQUS/CAE/Isight with python script is utilized as primary tool in this study. In the approach, the bead geometry is sketched and parameterized in ABAQUS/CAE and optimized with Isight to finalize the bead geometry.
Partner/Owner, cosin scientific software
Mathematics Research Assistant at Darmstadt University
Daimler-Benz Research, Germany
Professor at Esslingen University, Germany
Development and commercialization of FTire
Foundation of cosin scientific software, together with partner Gerald Hofmann
FTire: The Virtual Tire in MBD and FE Environments
FTire (Flexible Ring Tire Model) is a strictly mechanics-based tire model, suitable for use in general vehicle dynamics simulations. Its applications comprise primary and secondary ride, handling on flat and uneven road surfaces, tire forces influenced by suspension control systems, NVH, mobility, tire-imperfection induced suspension and steering vibrations, misuse, and road load prediction for durability.
FTire is available as tire model plug-in both for Simpack and Abaqus, as well as for a wide range of other 3rd-party environments. It has been used together with nearly all types of rubber-tire-equipped vehicles, including passenger cars, light and heavy trucks, motorcycles, scooters, aircrafts, all-terrain vehicles, and more.
FTire’s complexity is below that of detailed FE models, but far above simple point contact models which are still widely in use. Consequent use of mechanically consistent, highly non-linear structure and friction models allows ‘safe’ extrapolation into operating conditions not covered by respective laboratory experiments. FTire predicts plausible dynamic tire forces even at multiple-source high-frequent excitation, caused by road height profile and deformation, friction variation, suspension vibrations, drive and brake torque, tire non-uniformity and imbalance, temperature and pressure variation, and misuse events. Depending on activation of subsystems and on timely and spatial resolution, FTire simulation only takes about 0.5 to 20 times real-time for all tires of a vehicle.
More than just a single model, FTire provides a scalable tire model kit, ranging from parallelized, real-time capable versions for hardware-in-the-loop application, up to high-resolution realizations, connected to explicit FEA solvers. Upon demand, FTire provides a tread pattern, a tread temperature distribution, and a tread wear model, as well as visco-elastic rim and road models. Assisting tools are available for editing the model data file, for parameterization and data fit, for static, steady-state, and modal analysis, for visualization, for linearization, for DOE studies, for model export, and more. Parameterization may be based on laboratory measurements, on tire design data, on similarity considerations, or on combinations of these.
Michael M. Wright
Mechanical Engineer, US Department of Energy’s Kansas City National Security Campus (Managed by Honeywell)
Michael Wright is a Mechanical Engineer at the US Department of Energy’s Kansas City National Security Campus, managed by Honeywell. He recently took on the role of project analyst in the Advanced Engineering Simulation and Analysis group where he coordinates simulation efforts supporting eight different product teams. His simulation efforts focus on providing understanding, insight and improvement to specific manufacturing design and assembly operations. In addition to solid continuum simulation, Michael is interested in CFD and fluid-structure interaction as experienced in a manufacturing environment. Prior to joining Honeywell, Michael received his Bachelor and Master of Science degrees in Mechanical Engineering from Brigham Young University in 2010 and 2012, respectively.
Overcoming Manufacturing Challenges with Simulation Technology
The Kansas City National Security Campus (KCNSC) is an engineering and manufacturing facility for the US Department of Energy. Direct integration of simulation technology in our manufacturing processes leads engineers to understand and resolve myriad challenges, from single piece parts to complex electromechanical assemblies. This presentation identifies a few specific applications where simulation technology directly helped overcome manufacturing challenges at the KCNSC.
Mingchao Guo, PH.D.
Senior Technical Specialist, FCA US LLC
Dr. Mingchao Guo currently takes the role of Supervisor and Sr. Technical Specialist in body durability CAE at FCA US LLC. He is technically interested in vehicle structure stress and fatigue analyses using CAE approaches, especially fatigue performance and CAE life predictions of lightweight material joints.
Dr. Guo currently serves as chair of SAE Material Modeling and Testing Committee.
Dr. Mingchao Guo received his BS and MS in Structural Engineering from Harbin Institute of Technology, China, in 1982 and 1985 respectively, and PhD in Structural Engineering from the University of Southampton, UK, in 1998.
Failure Modeling of Adhesive Bonded Joints with Cohesive Elements
Advanced high strength steels (AHSS) have been extensively used in the automotive industry for vehicle weight reduction. Although AHSS show better parent metal fatigue performance, the influence of material strength on spot weld fatigue is insignificant. To overcome this drawback, structural adhesive has been used along with spot weld to form weld-bond joints. These joints significantly improve spot weld fatigue performance and provide high joint stiffness enabling down-gauge of AHSS structures. However, modeling the adhesive joints using finite element methods is a challenge due to the nonlinear behavior of the material. In this study, the formulation of cohesive element based on the traction-separation constitutive law was applied to predict the initiation and propagation of the failure mode in the adhesively bonded joints for lap shear and coach peel specimens subjected to quasi-static loadings. The predicted load versus displacement relations correlated well with the test results.
Sales Manager, DatapointLabs Technical Center for Materials
Nicholas Simpson is Sales Manager at DatapointLabs Technical Center for Materials. He joined the company in 2013 and spent time in the lab gaining hands-on experience with testing operations. Nick is a graduate of Keuka College with a Bachelor of Science degree in business management. He previously attended Clarkson University's mechanical engineering program, where he learned the fundamentals of science and engineeri
Building Robust Material Databases for Engineering Simulations
Material data are known to play a vital role in simulation quality. It starts with measured properties of the actual materials used in the products, at the conditions the product will see in its real life. A process validation test prior to starting real-life simulation gives the analyst a measure of simulation accuracy. Data on all the materials used in the company’s products are assembled in a material database, creating a single consistent materials access point for all the simulations performed on the company’s products. These steps harden simulation-based design processes, enabling better decision making and faster product development.&nb
Omar Ibrahim, M.D
Process Optimization Corporation
Smart tools to Generate 3D Images/Reports of CAE Results
CAE analysts spend too much time in post processing to identify the key simulation information required to make design decisions and then making a detailed report for reviews, archiving and sharing with other stake holders in the company. Here are some of the challenges faced by the analysts in making such CAE reports, manually.
- Locate and mark hot spots (possible failure locations) in parts and assemblies
- Create CAE report by annotating and making many slides for reviews as well as to communicate with other teams
- Design studies: Compare two or more CAE models/results from different CAE runs/iterations
- Automating the CAE report generation
- Sharing the 3D models with Simulation Information with designers
In this presentation, we discuss these challenges and present smart tools to extract Key Simulation Information from simulation data and generate 3D Images/Reports from native CAE results. These smart tools can save 90% of the analyst’s time in making CAE reports. Analysts also would never miss the hot spots with these tools as smart data mining algorithms would consistently find such failure regions/hotspots. Such CAE reports can be exported into variety of formats like images. Videos, PPT, 3D PDF, JT, CAX etc. for easier sharing.
Presenters: Omar Ibrahim, M.D at Process Optimization Corporation and Prasad Mandava, CEO, Visual Collaboration Technologies Inc.
Rob Hurlston Ph.D.
Project Engineer, Caelynx
Rob joined Caelynx in 2015 after having moved to the US from his native England a couple of years earlier. Rob has a strong background in Materials, with a specialism in Metallurgy and Structural Integrity Engineering. His industrially based doctorate and subsequent post-docs in Nuclear Materials Engineering saw him accumulate over a decade of real-world experience in collaboration with Serco, the University of Manchester (UK) and their partners. These included key players in the European nuclear industry such as Amec, Rolls-Royce, EDF and Fraser Nash as well as a host of partner universities. Rob has presented much of his work at a number of prestigious international conferences and has also published several journal papers.
As a Project Engineer at Caelynx, Rob has worked, and taken lead, on a diverse array of projects across a range of industries. This has allowed him to sharpen his analytical proficiency, particularly in the fields of linear and non-linear stress analysis, dynamics, heat transfer analysis and optimization.
Rob holds a 1st class Masters degree in Materials Science and Engineering and a Post Graduate Diploma in Enterprise Management along with his doctorate, all of which were completed at the University of Manchester.
Evolution of NuStep Exercise Machine Sickle Design Utilizing Tosca Optimization and Additive Manufacturing
NuStep is a manufacturer of high-end exercise equipment for use in physical therapy and rehabilitation. The equipment design is challenging because it must be multifunctional, space efficient and cost competitive. The subject of this case study was a combined stepper and leg-press machine in which a key component is required to oscillate in stepper mode and also withstand a 1,000lb leg-press. The challenge of this component design is striking the optimum balance between inertial ‘feel” and load bearing capability.
Traditionally, the design (or redesign) of a "sickle" component like this would demand costly and time consuming parametric type optimization until the required criteria were met. However, utilizing state-of-the-art optimization and additive manufacturing processes, an optimal design was found within a matter of days.
Tosca, in conjunction with Abaqus, was used to develop a number of studies in which various combinations of design constraints and targets were examined. The targets for both rotational inertia and deflection criteria were either met or exceeded. The combined results of these topology optimizations were then mastered into manufacturable CAD and provided to the customer. Prior to full production, NuStep created sand casts via additive manufacturing such that prototype testing could be carried out. Further, Caelynx is working on next level sickle designs that could take full advantage of metal additive manufacturing for low volume production.
Rod Mach is President of TotalCAE, the IT department for engineers. Rod is a 22 year veteran in utilizing High Performance Computing for CAE. Mr. Mach has a B.S.E in Electrical Engineering from the University of Michigan, and MBA from Wayne State. Prior to starting TotalCAE in 2006, he led the University of Michigan High Performance Computing division.
HPC Private and Public Cloud
Learn about the latest trends in HPC private and public cloud that will accelerate your SIMULIA simulations and make engineers more productive. Several customer case studies will be presented to show real-world challenges and solutions.
Engineering Services and Software, PART Engineering GmbH
- studied Mechanical Engineering at Cologne University of Applied Sciences
- graduation: Diploma in Mechanical Engineering
- 2008: Tower Automotive Novi, Michigan, USA
- 2009-today: PART Engineering GmbH, Bergisch Gladbach, Germany
- Responsible for Software Services
Strength Assessment of Injection Molded Plastic Parts in the Scope of FEA
By increasing cost pressures and the desire for lightweight components, products have to be designed closer to the strength limit and safety factors have to be reduced. Especially in plastic components detailed knowledge of material properties is essential. Therefore an intelligent component design is required in order to fully exploit the potential of these materials. Hence, the design of such components must be based on a reliable strength assessment. In contrast to the widespread use of short-fiber-reinforced plastics (SFRP), methods for a reliable strength assessment based on FE analyses for components made of these materials have not been sufficiently developed yet. This paper presents an approach for the strength assessment of SFRP components based on FE analyses. Appropriate failure limits and failure criteria for these materials are presented.
Dr.-Ing. Wolfgang Korte, PART Engineering GmbH
Dr.-Ing. Marcus Stojek, PART Engineering GmbH
Dipl.-Ing. (FH) Sascha Pazour, PART Engineering GmbH
Engineer, Eli Lilly & Company
Sharath Gopal is an engineer in the Delivery, Device and Connected Solutions (DDCS) group at Eli Lilly and Company. He has 14 years’ experience in the medical device industry spanning device design, development and modeling. His prior experience includes design and modeling of Nitinol stents and vascular implants. At Eli Lilly, Sharath’s focus is supporting early-phase device design through structural and multiphysics modeling. Please insert 1-2 brief paragraphs.
High Performance Computing on a Cloud Platform: A User’s Perspective
Increasing model complexity and expanded use of modeling in the product lifecycle are driving the need for ever-increasing computational needs. Further, teams today are geographically distributed and use a variety of modeling tools. Therefore, procuring, installing and maintaining computational hardware can be expensive, time-consuming and resource-intensive. The computational engineering team in the Delivery, Device and Connected Solutions (DDCS) group at Eli Lilly supports the development of novel delivery systems across the organization. Modeling is used extensively in all phases of the device lifecycle, from early innovation through commercialization and post-launch. Many of these models involve complex interactions of materials, assemblies and loading conditions. The computational engineering team has recently implemented a cloud-based HPC capability to support their growing modeling needs. This presentation will discuss Lilly’s experience in identifying, testing and implementing their cloud HPC capability, with a specific focus on technical evaluation of Abaqus on the cloud platform. Some of the key benefits/ challenges, lessons learned, and brief business case for cloud computing will also be presented.
Sheri K. Kurgin, Ph.D.
Senior Manufacturing Engineer, General Motors
Sheri joined General Motors in 2002, and has worked in Powertrain Central Manufacturing Engineering in the Process Analysis group for the past ten years. Major projects include CNC machining throughput improvement and quality optimization, MQL machining and FEA for a variety of manufacturing processes including metal cutting, induction hardening and die casting.
Before joining the Process Analysis group Sheri spent five years as a plant process engineer for both engine assembly and cylinder block machining.
Sheri completed her Ph.D. in Mechanical Engineering from Oakland University 2009. Prior to that, she obtained Bachelor of Science and Master’s degrees in Mechanical Engineering also from Oakland University.
Modeling Distortion due to Laser Welding for a Transmission Output Shaft using Abaqus
A transmission output shaft exhibits unacceptable levels of distortion subsequent to a laser welding process. A sequentially-coupled thermal structural Abaqus FEA model is developed to model this phenomenon and virtually test several different part designs, as well as the effect of weld width on distortion. In addition, FEA models are created to compare fixtures, and the effect of preheating a portion of the shaft prior to welding is simulated. Simulation results were used to quickly develop optimized part design and manufacturing processes, saving significant time and cost.
PhD Candidate, Mechanical Engineering at the University of Michigan
Mr. Sung is a PhD candidate in Mechanical Engineering at the University of Michigan and expects to graduate in 2018. He works with Professor Jwo Pan. His major works lie in ductile fracture of hydrided irradiated nuclear pressure tubes with the use of finite element analyses. His other works include: 1. Deriving more accurate analytical structural stress and stress intensity factor solutions for similar and dissimilar welds in lap-shear specimens; 2. Coding a user material subroutine based on the Mroz anisotropic hardening rule and the pressure-sensitive constitutive relation with the non-associated flow rule.
Analytical and Computational Stress Intensity Factor Solutions for Similar and Dissimilar Spot Welds in Lap-Shear Specimens under Clamped Loading Conditions
The analytical stress intensity factor solutions for similar and dissimilar spot welds in lap-shear specimens under pinned and clamped loading conditions are first presented. Closed-form solutions for similar spot welds in lap-shear specimens of equal thickness under pinned and clamped loading conditions are presented to show explicitly the effects of the clamped edges on the stress intensity factor solutions. Finite element analyses are then employed to obtain the stress intensity factor solutions for similar and dissimilar spot welds in lap-shear specimens under pinned and clamped loading conditions. The analytical stress intensity factor solutions are then compared with the results of the finite element analyses. Finally, the implications of the results on the fatigue life estimations of spot welds in lap-shear specimens under pinned and clamped loading conditions are discussed.
Senior Engineer, Toyota
CAE Methodology for Optimizing Functional Reliability and Mass Reduction at Engine Concept Design Phase
In today’s marketplace, customer expectation for fuel efficient vehicle is rising while a “Fun to Drive” experience must be maintained. To meet this demand, engineers are challenged to design light weight parts with higher performance. However, mass reduction carries a risk of compromised reliability and other functional demands. To resolve these competing demands, it is important to establish a basic structure with minimum necessary mass at the concept design phase when there are still many degrees of freedom in the design space. Hence, a multi-objective optimization CAE methodology applicable for designing the basic structure of the Engine system was developed. By applying this methodology to an inline three-cylinder engine, the targets for Functional Reliability were achieved while Engine system mass was reduc