The lab was established in 2015 by Dr. Jami Shah, Honda Professor of Engineering Design for Manufacturing, when he moved from Arizona State University to OSU. DDML is housed in Scott Lab Building West Wing (W285) within Mechanical & Aerospace Engineering Department. The Lab aspires to educate 21st Century workforce in rapidly evolving computational techniques to support advanced product design and manufacturing.

DDML focuses on teaching and applied research related to:

  • Structural design, FE analysis and optimization
  • Crashworthiness of automotive body frames
  • Driving Topology Optimization towards manufacturable designs
  • Data Science and Machine Learning Algorithms for engineering applications
  • AI/Knowledge Based Systems to support product design
  • Non-traditional and hybrid joining methods for dissimilar thin walled structures
  • Advanced mathematical models for 3D tolerance analysis and dimensional metrology
  • Tolerance analysis of flexible assemblies
BIW Display

DDML has established close collaboration with Honda companies in Ohio, Honda Research Institute in Germany, Digital Manufacturing & Design Innovation Institute, Chicago (now called MxD), Arnold Fastening Systems (Michigan), Center for Design & Manufacturing Excellence (CDME), OSU SIMCenter, Integrated Systems Engineering (ISE) Depratment at OSU and Arizona State University.

DDML sponsors include National Science Foundation, Honda, DMDII, RollsRoyce, Siemens PLM.

Research Sponsors

 

 

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DDML is first and foremost an Engineering Software Development and Simulation Lab. We develop advanced software tools in C++ and Python. We use software libraries and toolkits, such as ACIS, StarLab, MeshLab. We train our students in the use of various workbenches in CATIA, ANSYS, DYNA.

DDML is always looking for graduate students and undergrad interns to work on R&D projects. We are primarily interested in motivated students who enjoy coding and simulation and have a background in mechanical design and stress analysis.

Research Group
TeamLunch

To learn more about different aspects of DDML, please visit the following pages:

Contact Information:

Dr. Jami Shah

shah.493@osu.edu

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Honda releases Big Data Set generated by Ohio State

Title: OSU-Honda automobile hood data set (CarHoods10k)

DOI: CarHoods10k

Hood Model Table

The CarHoods10k data set comprises a set of over 10,000 3D mesh geometries for variants of car hood frames, generated through an automated, industry-grade Computer-Aided Design (CAD) workflow. The data set provides realistic designs validated by experts in terms of realism, manufacturability, variability, and performance. Variations in geometries were generated by a feature-based approach that varies parameter values describing design features on parameterized base geometries ('skins'). Geometries are represented as surface meshes (STL files) and are provided with the corresponding design parameter values and performance metrics from structural mechanics, generated through finite element analysis (FEA). The data set provides realistic and validated designs for the evaluation and development of methods such as optimization approaches or machine learning for metamodeling or performance prediction. CarHoods10k thus enables the evaluation of data-driven approaches for application in the engineering design domain.

CarHoods10k

Join the Lab

DDML is constantly looking for highly motivated and creative research scholars and graduate students, who are interested in learning new computational tools and development of automated systems for Design, and Manufacturing in mechanical and structural design. 

If interested in joining the lab, contact Dr. Jami Shah.

Undergraduate Interns: Open

Motivated computer savvy OSU undergraduate students interested in gaining experience in design and manufacturing or to get ready for graduate school can also contact Dr. Shah for internship positions.

We regret that DDML does not offer internships to undergraduate students at foreign universities.