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Home * Master Classes * Design Optimisation Additive Manufacturing

3 Feb 2020 - 5 Feb 2020 New dates to be announced soon!

Course Introduction

3D additive manufacturing (3D AM) technologies are increasingly adopted as an alternative to traditional manufacturing methods as the process offers significant advantages. AM enables the creation of highly complex components and realises lightweight strategies while increasing components’ performance.

To fully tap into the lightweight, high-performance potential of AM, one must consider many factors, including the degree of design freedom or the design of the component based on its intended use. Design optimisation, a systematic process to achieve the ‘best’ design relative to a set of constraints and criteria, can be applied to create new advanced structural geometries and to optimise components’ strength, reliability, efficiency as well as utilisation.

Providing a holistic understanding of design optimisation process methodologies and related numerical techniques, this 3 days Master Class provides participants with an in-depth understanding of finite element analysis, optimisation algorithms and software capabilities. Participants will advance their theoretical knowledge and gain hands-on experience in the design optimisation process. By the end of the Master Class, they will be able to make decisions, provide guidance and supervision in optimising and customising product design.

Optimised Bracket

Who Should Attend

This module is designed for R&D managers, industrial engineering managers, product design engineers and other professionals involved in design and development management and process development from the precision engineering, electronics, aerospace, marine, oil & gas and automotive sectors.

Why This Course

    • Topics are targeted at specific competencies required in 3D AM design and optimisation
    • Sequence of teaching is aligned to design evaluation, optimisation for 3D AM manufacturing and final design validation
    • Creates holistic understanding of 3D AM design flow and in-depth understanding of individual subject matters
    • Discussion is based on design validation and optimisation of 3D AM products Case study approach combined with relevant theory to make learning effective and interesting
    • Live demonstration and hands-on sessions with optimisation software to reinforce understanding

  • What You Will Learn

    Overview of AM Technologies
  • Overview of metal printing processes
  • Overview of polymer printing processes
  • Overview of manufacturing constraints for AM processes

Introduction to Finite Element Analysis

  • Numerical stress and frequency analysis concepts
  • Numerical boundary conditions for static problems
  • Numerical load application for static problems
  • Case studies

Introduction to Optimisation

  • Topology optimisation concepts
  • Optimisation objectives
  • Optimisation constraints
  • Numerical strategies for improved convergence

Topology Optimisation


Optimisation Software Demonstration and Hands-on Workshop

  • Software demonstration Inspire (Altair Hyperworks)
  • Hands-on trials of optimisation with developed case studies

 Advanced Optimisation Strategies for AM components

  • Commercial optimisation case studies for AM
  • Current state-of-the-art research topics (anisotropic optimisation, multi-material optimisation, auxetic material design, thermo-mechanical optimisation strategies, composite 3D printing, etc)

Advanced Lattice Optimisation Strategies for AM

  • Multifunctional applications
  • Buckling optimisation
  • Stiffness versus strength considerations
  • Hands-on software workshop for lattice design and advanced AM design constraints
Trainers' Profile

Professor Michael Wang is the Founding Director of the Robotics Institute and a Professor of Mechanical and Aerospace Engineering and Electronic and Computer Engineering of Hong Kong University of Science and Technology (HKUST). A native of China, Professor Wang obtained his undergraduate degree from Xi’an Jiaotong University, China, his master degree from Pennsylvania State University, USA, and his Ph.D. from the Carnegie Mellon University, USA. Before joining HKUST in 2015, he served on the engineering faculty at the University of Maryland, USA, the Chinese University of Hong Kong, and the National University of Singapore.

Professor Wang’s research focuses primarily on robotics, automation, multifunctional structure design, structural optimisation and additive manufacturing, with over 300 technical publications in these areas. He has held positions worldwide. He was a visiting scholar at the Stanford University, USA, A*STAR OAP Fellow with the Nanyang Technological University, Singapore, Guest Professor with the Shanghai Jiaotong University, China, and the Harbin Institute of Technology, China, Chang Jiang Chair Professor at Huazhong University of Science and Technology (HUST), China, Thousand Talents Professor at Xi’an Jiaotong University, China, and a Distinguished Visiting Scholar of University of Technology Sydney, Australia.

Dr Stefanie Feih is a Senior Scientist in SIMTech with strong international research experience in the analysis, design and optimisation of lightweight structures. Dr Feih holds a Degree in Mechanical Engineering from Germany, a Master Degree from Cornell University, USA, and was awarded her Ph.D. from Cambridge University, UK, in 2002. She worked for the National Laboratory Risø, Denmark, and RMIT University, Australia, prior to moving to Singapore in 2014. She is well accomplished in numerical analysis methods, mechanical testing and characterisation of materials, as well as manufacture of composites and additive material structures.

Dr Feih has an extensive experience in managing research projects with strong collaborative aspects with local industry and international research partners. She is a frequent presenter at conferences and seminars with (to date) over 140 internationally published journal and conference papers. Industry applications for her work include wind, naval, O&G offshore and aerospace structures. Dr Feih is an elected member of the Executive Council of the International Committee on Composite Materials and an Editorial Board Member for Composites Part A. She is a registered supervisor of PhD and Master’s students and holds an Adjunct Professorship at RMIT University, Australia as well as an Adjunct Associate Professorship at the National University of Singapore.

When and Where

  • Dates:     3 to 5 February 2020 (Monday to Wednesday) ~ New dates to be announced soon!

  • Venue:    Singapore Institute of Manufacturing Technology
                    73 Nanyang Drive, Singapore 637662
                    Please visit here for directions on how to reach the venue.

Refreshments (breakfast, lunch and afternoon tea-break) will be provided each day during the programme.

Course Fee

  • The full course fee is S$2,800 (excluding GST).
  • The nett course fee (after 70% course fee subsidy from the SkillsFuture Singapore (SSG) for Singaporeans and Permanent Residents) is S$898.80 (including 7% GST).



| Programme Brochure |



Only attendees will receive the email link to access the photo album from GC2019.


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