“…Here, samples were fully unloaded after 2. 5,5,10,15,20,25,30,35,40,45, and 50% of deformation. The amount of deformation is related to the starting height.…”
Section: Characterization Methodsmentioning
confidence: 99%
“…[29] For parts with small to medium sized dimensions and high geometrical complexity, MIM is one of the most economic production technologies, which is established in industry since many years. In this context, the 2-component-metal injection moulding (2-C-MIM) technique is a more elaborated variation, also derived from plastics industry, [30,31] in which the combination of two different feedstocks in the same part becomes possible. Related case studies demonstrated the potential of 2-C-MIM for manufacturing parts made of different steel feedstocks, [32][33][34][35][36] different porcelain feedstocks, [37] or a composite of zirconia and steel.…”
2‐Component‐Metal Injection Moulding (2‐C‐MIM) is a technique derived from plastics industry which has been adapted to metal powders. In the present work, the production of titanium implants with a gradient in porosity was demonstrated by using this technology, starting from titanium feedstocks with and without space holder particles (NaCl, 350–500 µm). Binder systems specially tailored for the application were developed. Compared to established production routes, the net‐shape fabrication of titanium implants by 2‐C‐MIM promises a significant reduction of cost if aiming at large scale production. The feasibility study was accompanied by a detailed characterisation of each production step of 2‐C‐MIM process including influence of MIM processing on mechanical properties.
“…Here, samples were fully unloaded after 2. 5,5,10,15,20,25,30,35,40,45, and 50% of deformation. The amount of deformation is related to the starting height.…”
Section: Characterization Methodsmentioning
confidence: 99%
“…[29] For parts with small to medium sized dimensions and high geometrical complexity, MIM is one of the most economic production technologies, which is established in industry since many years. In this context, the 2-component-metal injection moulding (2-C-MIM) technique is a more elaborated variation, also derived from plastics industry, [30,31] in which the combination of two different feedstocks in the same part becomes possible. Related case studies demonstrated the potential of 2-C-MIM for manufacturing parts made of different steel feedstocks, [32][33][34][35][36] different porcelain feedstocks, [37] or a composite of zirconia and steel.…”
2‐Component‐Metal Injection Moulding (2‐C‐MIM) is a technique derived from plastics industry which has been adapted to metal powders. In the present work, the production of titanium implants with a gradient in porosity was demonstrated by using this technology, starting from titanium feedstocks with and without space holder particles (NaCl, 350–500 µm). Binder systems specially tailored for the application were developed. Compared to established production routes, the net‐shape fabrication of titanium implants by 2‐C‐MIM promises a significant reduction of cost if aiming at large scale production. The feasibility study was accompanied by a detailed characterisation of each production step of 2‐C‐MIM process including influence of MIM processing on mechanical properties.
“…One of the most important design requirements is to minimize weldlines [33,39,40] that look aesthetically unpleasant. The weldlines may occur along the surfaces where two or more flow-fronts of molten resin meet.…”
Section: Problem Definition and Optimization Modelmentioning
confidence: 99%
“…The levels (and the corresponding values) for the design variables are G 1 = 3(50), G 2 = 3(38), G 3 = 1(10), Fig. 8 Graphical representation of the design range and levels at the 5th iteration t f ill = 3(10), T melt = 2(205), and T mold = 1 (40). The levels of the Gate 1 (G 1 ) and the Gate 2 (G 2 ) at the optimal Fig.…”
A new robust optimal design methodology has been developed and applied to the design of plastic injection molding products. Taguchi's robust design method and an optimal design search algorithm are integrated with a commercial CAE simulation tool. A direct search-based optimization procedure is implemented with the considerations of process variations as well as uncontrollable noise variables. The Interactive Design Space Reduction Method (IDSRM) based on orthogonal arrays for design of experiments is developed as a general optimization tool. Using the system, designers can interactively adjust the design space during the searching process for the optimal solution based on the outcomes of the experiments. The developed methodology is applied to an industrial application: a molding process design of an automobile front bumper to minimize the weldline, a form defect of plastic parts. Compared with the initial design solution, the optimized design aided by the proposed methodology shows a more efficient and better result in terms of design robustness against process variations.
“…Surface defects due to the interaction between the polymer melt and the gas are possible [12]. In addition, new processing variables are introduced to the molding process control, and these include delay time, gas pressure, and gas time [13][14][15].…”
Section: Contents Lists Available At Sciencedirectmentioning
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