Design for Additive Manufacturing in Extended DFMA Process

2018 ◽  
Vol 786 ◽  
pp. 342-347 ◽  
Author(s):  
Kari Mäntyjärvi ◽  
Terho Iso-Junno ◽  
Henri Niemi ◽  
Jarmo Mäkikangas

As a new manufacturing method, Additive Manufacturing has begun to get a foothold in the manufacturing industry. The effective exploitation of the technology requires many times a re-design of the product or re-considering the manufacturing technology. Design for additive manufacturing differs considerably from design to other manufacturing methods, therefore design guidelines for additive manufacturing has been developed. The purpose of this paper is to present a new variant of the Design for Manufacturing and Assembly (DFMA) method which supports additive manufacturing.

2021 ◽  
Author(s):  
Heena Noh ◽  
Kijung Park ◽  
Kiwon Park ◽  
Gül E. Okudan Kremer

Abstract Traditional plaster casts often cause dermatitis due to disadvantages in usability and wearability. Additive manufacturing (AM) can fabricate customized casts to have light-weight, high strength, and better air permeability. Although existing studies have provided design for additive manufacturing (DfAM) guidelines to facilitate design applications for AM, most relevant studies focused on the mechanical properties of outputs and too general/specific design guidelines; novice designers may still have difficulty understanding trade-offs between functional and operational performance of various DfAM aspects for medical casts. As a response, this study proposes a DfAM worksheet for medical casts to effectively guide novice designers. First, important DfAM criteria and their possible solutions for medical casts are examined through a literature review to construct a basic DfAM framework for medical casts. Next, a scoring system that considers relative criteria importance and criteria evaluation from both functional and operational perspectives is developed to identify the overall suitability of a medical cast design for AM. A case study of finger cast designs was performed to identify the DfAM performance of the sample designs along with redesign requirements suggested by the worksheet. The proposed worksheet would be used to achieve rapid medical cast design by objectively assessing its suitability for AM.


2018 ◽  
Vol 786 ◽  
pp. 348-355
Author(s):  
Terho Iso-Junno ◽  
Kimmo Mäkelä ◽  
Kari Mäntyjärvi ◽  
Tero Jokelainen

Metal 3D AM (Additive Manufacturing) has been becoming a more common production method for larger variety of parts. In this review the current situation and future development trends of the 3D metal AM are presented, concentrating on the SLM (Selective Laser Melting) technology. A holistic approach to the AM as a digital manufacturing method is presented and different manufacturing aspects of the AM production are identified. The most promising aspects for the future development are the automatization of the AM design tasks and automatization of the production. With the development of these aspects the production and cost efficiency of the metal AM can be increased to a more competitive level compared with other manufacturing methods.


Polymers ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 291
Author(s):  
Sedigheh Farzaneh ◽  
Mohammadali Shirinbayan

It is clear that viruses, especially COVID-19, can cause infection and injure the human body. These viruses can transfer in different ways, such as in air transfer, which face masks can prevent and reduce. Face masks can protect humans through their filtration function. They include different types and mechanisms of filtration whose performance depends on the texture of the fabric, the latter of which is strongly related to the manufacturing method. Thus, scientists should enrich the information on mask production and quality control by applying a wide variety of tests, such as leakage, dynamic respiratory resistance (DBR), etc. In addition, the primary manufacturing methods (meltblown, spunlaid, drylaid, wetlaid and airlaid) and new additive manufacturing (AM) methods (such as FDM) should be considered. These methods are covered in this study.


2017 ◽  
Vol 13 (4-2) ◽  
pp. 464-469 ◽  
Author(s):  
Rosdayanti Fua-Nizan ◽  
Ahmad Majdi Abdul Rani ◽  
Mohamad Yazid Din

The main objective of this paper is to review the manufacturing methods that can be used for fabricating medical prostheses. The medical prostheses have different functions and applications. Selection of manufacturing method is made based on the material, design, and mechanical properties of the prostheses.  The conventional manufacturing methods that had been applied for manufacturing prostheses are machining, incremental sheet forming and investment casting. The combination of computer numerical control and additive manufacturing has been able to improve the process efficiency of these methods. However, direct fabrication by additive manufacturing has been able to replace the conventional method with better process efficiency and product accuracy. 


Author(s):  
Marcio Fernando Cruz ◽  
Anderson Vicente Borille ◽  
Luis Gonzaga Trabasso ◽  
Carlos Roberto Pansani de Haro ◽  
Felipe Brandão

Procedia CIRP ◽  
2017 ◽  
Vol 60 ◽  
pp. 223-228 ◽  
Author(s):  
Myriam Orquéra ◽  
Sébastien Campocasso ◽  
Dominique Millet

2014 ◽  
Vol 8 (3) ◽  
pp. 278-294 ◽  
Author(s):  
Gurinder Singh ◽  
Inderpreet Singh Ahuja

Purpose – The purpose of this paper is to create awareness of contributions made by just-in-time manufacturing (JIT) practice towards building performance measures in Indian manufacturing industry. Implications of JIT implementation issues in Indian manufacturing industry have been critically evaluated in this paper. Design/methodology/approach – While conducting this study, survey of reasonable number of manufacturing organisations have been made so as to ascertain contributions made by JIT initiatives in the Indian manufacturing industries for achieving major performance measures. The correlations between various JIT implementation dimensions and performance parameters have been worked out by employing various statistical tools and bringing out significant factors contributing effectively towards achieving manufacturing performance measures. Findings – The study divulges that attitude of management, participation of workers, relationship of organisation with suppliers and customers, adoption of latest manufacturing methods and successful adaptation of effective JIT initiatives can significantly contribute towards enhancing performance measures in the organisation. The study also reveals that the holistic JIT manufacturing methods outscore the traditional manufacturing practices towards improving the manufacturing performance. The study highlights that detailed JIT implementation over a reasonable period can greatly contribute towards achievement in performance of organisation. Originality/value – The present study analyses the impact of JIT manufacturing method on performance of organisation and highlights the need for aligning organisational efforts in establishing manufacturing methods for attaining improvements in performance of manufacturing organisations. The paper highlighted the status of JIT manufacturing initiatives in the Indian context and the preparedness of Indian manufacturing industry to meet the challenges imposed by the Western world by employing aggressive JIT manufacturing strategies.


2014 ◽  
Vol 635-637 ◽  
pp. 97-100 ◽  
Author(s):  
Shi Kai Jing ◽  
Guo Hua Song ◽  
Ji Hong Liu ◽  
Jing Tao Zhou ◽  
He Zhang

Additive Manufacturing (AM) is the digital manufacturing technology by which products are fabricated directly from computer models by selectively curing, depositing or consolidating materials in successive layers. The technology has provided an opportunity to rethink the methods of product design to maximize the product performance through the synthesis of material compositions, structure, and sizes. This overview is created to relate the unique capabilities of AM technologies and discuss the methods of product design. Finally, the current problems and difficulties in this field are discussed in this paper, and this paper proposes the development direction of the product design for additive manufacturing in the future.


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