Progress in Additive Manufacturing · 2023 · 35 citations · 32 references
EngineeringIndustrial EngineeringManufacturing EngineeringAdditive ManufacturingManufacturing ProcessesProduction EngineeringLaser Material ProcessingManufacturing Cost AnalysisManufacturing TechnologyMaterial ExtrusionMetal Additive ManufacturingPowder Bed FusionAdditive Manufacturing Materials SelectionAdditive Manufacturing Process SelectionAnalytic Hierarchy ProcessExtrusionLaser Powder Bed FusionMetal Powder Bed FusionSetup Time BenchmarkingTechno-economic Analysis
Abstract This work presents a decision-making methodology that allows the merging of quantitative and qualitative decision variables for selecting the optimal metal Additive Manufacturing (AM) technology. The approach is applied on two competing technologies in the field of metal AM industry, i.e., the metal extrusion AM process (metal FFF) and the Laser Powder Bed Fusion process (LPBF) with single and multiple lasers, which represent the benchmark solution currently on the market. A comprehensive techno-economical comparison is presented where the two processes are analysed in terms of process capabilities (quality, easiness of use, setup time, range of possible materials, etc.) and costs, considering two different production scenarios and different parts’ geometries. In the first scenario, the AM system is assumed to be dedicated to one single part production while in this second scenario, the AM system is assumed to be saturated, as devoted to producing a wide mix of part types. For each scenario, two different part types made of 17–4 PH stainless steel are considered as a reference to investigate the effect of shape complexity, part size and production times to select the best technology when metal FFF and LPBF must be considered. The first part type refers to an extrusion die, to represent typical shapes of interest in the tooling industry, while the second part type is an impeller which can be used in many different industrial sectors, ranging from oil and gas to aerospace. In order to include quantitative and qualitative criteria, a decision-making model based on Analytic Hierarchy Process (AHP) is proposed as the enabler tool for decision making. The proposed approach allows to determine the most effective solution depending on the different production configurations and part types and can be used as a guideline and extended to include other technologies in the field of metal AM. On the other side, the critical discussion of the criteria selected, and the results achieved allow to highlight the pros and cons of the competing technologies, thus defining the existing limits to define directions for future research.
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Cost estimation for rapid manufacturing - laser sintering production for low to medium volumes
Massimiliano Ruffo, Christopher Tuck, Richard Hague · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · 2006 · 337 citations · Full text
Engineering, Industrial Engineering, Manufacturing Engineering +16
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L.E.J. Thomas-Seale, Jackson Kirkman‐Brown, Moataz M. Attallah et al. · International Journal of Production Economics · 2018 · 228 citations · Full text
Engineering, Manufacturing Engineering, Materials Engineering +17