Design Methodologies and Innovation for Additive Manufacturing

Course Provider

Centre for Professional and Continuing Education (PaCE@NTU)


Continuing Education and Training Certificate


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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Course Availability

  • Date(s): 22 to 23 Aug 2022

    Time: 9:00AM to 5:00PM

    Venue: NTU Yunnan Campus, HP-NTU Corp Lab

    Registration is closed.

  • Date(s): 20 to 21 Oct 2022

    Time: 9:00AM to 5:00PM

    Venue: NTU Yunnan Campus, HP-NTU Corp Lab

    Registration Closing Date: 07 Oct 2022

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

DFAM and Activity/Demo 1
• Intro to DFAM
• Stage 2: Conceptual Design
• Fundamentals of Additive Manufacturing
• 3D-scanning Activity 
• 3D-scanning Demonstration 
• Assessment 1

Day 2

DFAM and Activity/Demo 2
• Intro to DFAM
• Stage 3: Embodiment Design
• Generative Design Activity 
• Generative Design Demonstration 

DFAM and Lab Tour 
• Intro to DFAM
• Stage 4: Detail Design 
• Stage 5: Manufacture & Post-processing
• Current Challenges of DFAM and Future Work
• Assessment 2
• 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$1712.00

Course fee payable after SSG funding, if eligible under various schemes

Cat-A SSG Funded Courses


Enhanced Training Support for SMEs (ETSS)


Mid-Career Enhanced Subsidy (MCES)


  • All fees stated are inclusive of 7% GST
  • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click  here for more information. 
Read more about funding

Ms Song Xue Ting

Ms Song Xue Ting received her BEng. In Mechanical Engineering (Design) with Highest Distinction from Nanyang Technological University (NTU), Singapore in 2020. She had several local and overseas internships during her undergraduate studies, providing her expertise and services to multiple start-ups. Her main research interests are in design methodologies, human-centric product design and development, human-computer interactions, engineering design, additive manufacturing, and computationally driven / generative design. As a young researcher and designer, she was awarded the Gold Prize in the international Capstone Design Competition (i-CAPS) 2018 and the E^2 Festa 2018 in Korea. In recognition of her academic and extra-curricular activities, she was also awarded the Dr Leung Shiu Kee Gold Medal by NTU in 2020.  Shortly after graduation, she joined HP-NTU Digital Manufacturing Corporate Lab and has since contributed to a book chapter and a conference publication as a first author, and co-authored another conference paper. Ms Song Xue Ting can be contacted via email at 

Dr Kuo Jo-Yu Joy

Dr Kuo Jo-Yu is a Research Fellow in the HP-NTU Digital Manufacturing Corporate Lab, at Nanyang Technological University (NTU), Singapore. She received her joint Ph.D. degree in Mechanical Engineering from NTU, Singapore and Loughborough University, UK, in 2019. She has a strong design research background, holding both BS and MS degrees in Industrial Design from National Cheng Kung University, Taiwan. Her research interests are in user experience, affective engineering, AI-driven product development, human-machine interface, human factors engineering, and design science. She actively advises for design stream students’ final year projects in the School of Mechanical and Aerospace Engineering, NTU. Her works have won the Best Paper Awards in international conferences, as well as design workshops and competitions. She is also experienced in leading and managing research projects in industry-academia collaborations. Before joining the HP-NTU Corp Lab in July 2020, she led a research team developing innovative solutions to personal urban mobility at the Schaeffler Hub for Advanced Research. 

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. 

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