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Introduction
The practice of design in manufacturing is evolving. With the emergence of additive manufacturing (AM) technologies in recent years, design methodologies need to evolve beyond the conventional design for manufacturing and assembly (DFMA) methodology.
As manufacturing companies progressively adopt AM and realize a need to reimagine how products are designed with AM, new guidelines and a shift in the design mindset must be considered with respect to specific AM processes, machines, materials, and
product design stages. It is imperative that designers, engineers, and executives understand how and when to leverage AM in their roles and organizations.
This course begins by introducing a historical account of design methodologies for
conventional manufacturing from DFMA, Design for X / Excellence (DFX), to Design for Additive Manufacturing (DFAM). A list of key design considerations is proposed to facilitate the realization of optimal design with AM in our current and future digital
manufacturing landscape. An exploration of design opportunities and constraints enabled by AM will be presented. Learners will acquire the knowledge and confidence to create innovative solutions using a general DFAM framework for designing with AM
across a vast opportunity space, creating value in their practices.
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At the end of this course, the learners will learn:
• Describe the evolution of design methodologies from Design for Manufacture and Assembly (DFMA) to Design for Additive Manufacturing (DFAM)
• Identify the key stages of a part design process from product planning to manufacture and post-processing, including the key design opportunities and constraints at each stage
• Understand innovative 3D modelling approaches via 3D-scanning and generative design
• Acquire skills to design parts for AM by combining engineering intuition with digital design methods and process-specific constraints
• Participate in hands-on activities including 3D-scanning, editing digital forms, setting up generative studies given loads and constraints, and more
• Develop an appreciation of a design-centric perspective on digital transformation in cutting-edge digital manufacturing
The content of the course is referenced from a handbook currently developed by the HP-NTU Digital Manufacturing Corporate Lab, titled “The Industrialization of ‘Art tot Part’ 3D Additive Printing”. The main chapter reference is Chapter 4: Design methodologies for manufacturing.
Day 1
Traditional to Modern: From Conventional Design Methodologies to Current Methodologies
• DFA, DFM, DFMA guidelines and procedures, Design for Excellence, Design informatics and Product-Service-Systems, Applications of DFMA, Limitations
• Introduction to Designing for Additive Manufacturing (DFAM): A General 5-stage DFAM framework
Stage 1: Product Planning
• Intro to DFAM
• Stage 2: Conceptual Design
• Fundamentals of Additive Manufacturing
• 3D-scanning Activity
• 3D-scanning Demonstration
DFAM and Activity/Demo 2
• Intro to DFAM
• Stage 3: Embodiment Design
DFAM and Lab Tour
• Intro to DFAM
• Stage 4: Detail Design
• Stage 5: Manufacture & Post-processing
• Lab Tour
This course is suitable for current industry professionals such as design engineers, mechanical engineers, process engineers, product development engineers, industrial engineers, project engineers, and more.
Technical programme managers who are interested to upgrade their skills and champion digital transformation in digital manufacturing within their organizations.
Newcomers or mid-career switchers who want to acquire essential skills and knowledge of design methodologies and innovation for additive manufacturing to enter the field of digital manufacturing.
Standard Course Fee: S$1,744.00
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SSG Funding Support |
Course fee |
Course fee payable after SSG funding, if eligible under various schemes |
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BEFORE funding & GST |
AFTER funding & 8% GST |
AFTER funding & 9% GST |
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Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) |
S$1,600.00 |
S$518.40 |
S$523.20 |
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Enhanced Training Support for SMEs (ETSS) |
S$198.40 |
S$203.20 |
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SCs aged ≥ 40 years old |
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• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Note: Course fee payment made before 1 Jan 2024 will be subject to GST at 8%, and payment made on or after 1 Jan 2024 will be subject to GST at 9%.
Mr Kendrik Lim
Kendrik Yan Hong Lim is concurrently pursuing a PhD specializing in Engineering Informatics at Nanyang Technological University, Singapore, with a particular focus on translating theoretical digital twin paradigms into industrial applications. He also leads projects as a senior research engineer at Singapore's Agency of Science and Technology (A*STAR). Kendrik holds a Bachelor's Degree in Mechanical Engineering from NTU, and completed a Master's Degree in Industrial Engineering from Chiba University, Japan, under a government scholarship.
Dr Chen Chun-Hsien
Dr Chen Chun-Hsien is currently an Associate Professor in the School of Mechanical and Aerospace Engineering, at Nanyang Technological University (NTU), Singapore. He received his BS degree in Industrial Design from National Cheng Kung University, Taiwan, in 1984, MS and Ph.D. degrees in Industrial Engineering from the University of Missouri-Columbia, USA, in 1991 and 1996, respectively. His teaching and research interests are in collaborative/human-centric/consumer-oriented product design and development, knowledge engineering, design sciences, engineering informatics and AI in product/ engineering design. He has more than 250 publications in these areas. Prof. Chen has served as a Technical Reviewer for National Science and Technology Awards (Singapore), National Research Foundation of Korea, The Knowledge Foundation (KK) HÖG 16 Project, Sweden, and a Judge for Pin Up Design Awards (Korea), an Advisory Board member for ISTE (International Society of Transdisciplinary Engineering), an Advisory Committee member for the Design Disciplines of Shanghai Jiao Tong University and various international conferences held in USA, Europe, Brazil, Australia, New Zealand, China, Japan, Korea, Malaysia, Hong Kong and Taiwan. He has been appointed as Editor-in-Chief of Advanced Engineering Informatics (Elsevier) since January 2013. Besides, he is an editorial board member of Recent Patents on Engineering, etc.
