Selection for additive manufacturing using hybrid MCDM technique considering sustainable concepts

Chandra, Mahesh; Shahab, Faisal; Vimal, K.E.K.; Rajak, Sonu

doi:10.1108/rpj-06-2021-0155

Cited by 35 publications

(13 citation statements)

References 61 publications

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“…FDM resembles conventional manufacturing techniques like injection molding or extrusion except that no mold is required in it [ 26 ]. The upward or downward movement of the support structure happens after the previous layer is completed [ 27 ]. Selective laser sintering (SLS) is a PBF technique in which laser energy performs layer-by-layer sintering and melting.…”

Section: Appreciable Role Of Am Against the Covid-19 Pandemicmentioning

confidence: 99%

Additive manufacturing for biomedical applications: a review on classification, energy consumption, and its appreciable role since COVID-19 pandemic

et al. 2022

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The exponential rise of healthcare problems like human aging and road traffic accidents have developed an intrinsic challenge to biomedical sectors concerning the arrangement of patient-specific biomedical products. The additively manufactured implants and scaffolds have captured global attention over the last two decades concerning their printing quality and ease of manufacturing. However, the inherent challenges associated with additive manufacturing (AM) technologies, namely process selection, level of complexity, printing speed, resolution, biomaterial choice, and consumed energy, still pose several limitations on their use. Recently, the whole world has faced severe supply chain disruptions of personal protective equipment and basic medical facilities due to a respiratory disease known as the coronavirus (COVID-19). In this regard, local and global AM manufacturers have printed biomedical products to level the supply–demand equation. The potential of AM technologies for biomedical applications before, during, and post-COVID-19 pandemic alongwith its relation to the industry 4.0 (I4.0) concept is discussed herein. Moreover, additive manufacturing technologies are studied in this work concerning their working principle, classification, materials, processing variables, output responses, merits, challenges, and biomedical applications. Different factors affecting the sustainable performance in AM for biomedical applications are discussed with more focus on the comparative examination of consumed energy to determine which process is more sustainable. The recent advancements in the field like 4D printing and 5D printing are useful for the successful implementation of I4.0 to combat any future pandemic scenario. The potential of hybrid printing, multi-materials printing, and printing with smart materials, has been identified as hot research areas to produce scaffolds and implants in regenerative medicine, tissue engineering, and orthopedic implants.

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Section: Appreciable Role Of Am Against the Covid-19 Pandemicmentioning

confidence: 99%

Additive manufacturing for biomedical applications: a review on classification, energy consumption, and its appreciable role since COVID-19 pandemic

et al. 2022

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“…Also, PP is slightly more flexible than PLA [81][82][83]. In all polymer filament materials, composite filaments are available in the market with 90% parent polymer and 10% another polymer according to the application, for example, ABS+, ABS Premium, PLA Pro, PLA+, PLA carbon fibre, and PETG carbon fibre [91][92][93][94].…”

Section: Pp (Polypropylene)mentioning

confidence: 99%

Challenges and Opportunities in Additive Manufacturing Polymer Technology: A Review Based on Optimization Perspective

Raja

Rajan

2023

Advances in Polymer Technology

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In the emerging modern technology of additive manufacturing, the need for optimization can be found in literature in many places. Additive manufacturing (AM) is making an object layer by layer directly from digital data. Previous works of literature have classified additive manufacturing processes into seven types. However, there is a lack of comprehensive review describing the optimization challenges and opportunities in the material extrusion process (polymer technology) and also the need for FDM polymer materials application in impeller making. In this review paper, a specific optimization method called multicriteria decision-making (MCDM) from the mathematical programming technique used in additive manufacturing polymer technology (AMPT) is discussed. The other topics such as different types of optimization techniques, applications of different MCDM tools and their applications in different fields including AM, and the optimization challenges and opportunities in AMPT particularly impeller application are discussed.

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“…Still, the selection based on collective data on geometry, product expectation and material has been barely scanned lately. Moreover, most of the methodologies have showcased either for some of the processes or specific materials (Chandra et al , 2022; Raja et al , 2022). Bikas and fellow researchers presented their methodology for the selection of AM process concerning the material selection, process suitability and suitable machines (Bikas et al , 2021).…”

Section: Literature Searchmentioning

confidence: 99%

Selection methodology for additive manufacturing processes considering design, material, and manufacturability

Goala,

Sarkar

2023

RPJ

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Purpose One of the critical reasons for the nonacceptance of additive manufacturing (AM) processes is the lack of understanding and structured knowledge of design for additive manufacturing (DfAM). This paper aims to assist designers to select the appropriate AM technology for product development or redesign. Using the suggestion provided by the design assist tool, the user’s design alterations depend on their ability to interpret the suggestion into the design without affecting the design’s primary objective. Design/methodology/approach This research reports the development of a tool that evaluates the efficacy values for all seven major standard AM processes by considering design parameters, benchmark standards within the processes and their material efficacies. In this research, the tool provides analytical and visual approaches to suggestion and assistance. Seventeen design parameters and seven benchmarking standards are used to evaluate the proposed product and design quality value. The full factorial design approach has been used to evaluate the DfAM aspects, design quality and design complexity. Findings The outcome is evaluated by the product and design quality value, material suit and material-product-design (MPD) value proposed in this work for a comparative assessment of the AM processes for a design. The higher the MPD value, the better the process. The visual aspect of the evaluation uses spider diagrams, which are evaluated analytically to confirm the results’ appropriateness with the proposed methodology. Originality/value The data used in the database is assumed to make the study comprehensive. The output aims to help opt for the best process out of the seven AM techniques for better and optimized manufacturing. This, as per the authors’ knowledge, is not available yet.

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Selection for additive manufacturing using hybrid MCDM technique considering sustainable concepts

Cited by 35 publications

References 61 publications

Additive manufacturing for biomedical applications: a review on classification, energy consumption, and its appreciable role since COVID-19 pandemic

Additive manufacturing for biomedical applications: a review on classification, energy consumption, and its appreciable role since COVID-19 pandemic

Challenges and Opportunities in Additive Manufacturing Polymer Technology: A Review Based on Optimization Perspective

Selection methodology for additive manufacturing processes considering design, material, and manufacturability

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