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Open AccessJournal ArticleDOI

Surface Characteristics of Machined Polystyrene with 3D Printed Thermoplastic Tool

TLDR
The findings of the experimental work advocated the feasibility of 3D printed thermoplastic tools for machining soft polymeric materials and indicated that the surface roughness is influenced by the spindle speed and dimensional accuracy by the depth of cut.
Abstract
An effort is made in this work to appraise the surface characteristics of machined expandable polystyrene (EPS) with a novel 3D printed thermoplastic acrylonitrile-butadiene-styrene (ABS) tool. Linear grooves on EPS were made on a vertical milling machine that was modified to conduct experiments in the laboratory. The tests were designed as per the Taguchi L9 based factorial design of experimentation while varying process parameters such as depth of cut, spindle speed, and feed rate. The machining responses dimensional accuracy and surface roughness of the machined grooves were studied. Furthermore, the surface topography of the machined specimens was considered to investigate the mechanism of material removal in response to the processing conditions. Moreover, mathematical models developed for the prediction of the output responses showed a significant correlation with the experimental results. The results of the statistical study indicate that the surface roughness is influenced by the spindle speed and dimensional accuracy by the depth-of-cut. Overall, the findings of the experimental work advocated the feasibility of 3D printed thermoplastic tools for machining soft polymeric materials. It can become a useful alternative for mass and batch production.

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Parametric optimization of parameters affecting dimension precision of FDM printed part using hybrid Taguchi-MARCOS-nature inspired heuristic optimization technique

TL;DR: A comparative inspection of nature-inspired algorithms in FDM printed part was performed in this article , which reported part orientation as the most significant element, and ten different optimizations have been utilized to predict the optimal setting of the experiment.
Journal ArticleDOI

Determination of Optimum Machining Parameters for Face Milling Process of Ti6A14V Metal Matrix Composite

TL;DR: In this paper , the effect of three machining parameters, namely cutting speed, tool feed and cutting depth, on the matching responses was analyzed using the Grey Relational Analysis (GRA) optimization approach.
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Sustainability aspects of machining operations: A summary of concepts

TL;DR: In this paper, a broad assessment of sustainable machining technology's value in achieving sustainable manufacturing goals and implementing them at the ground level is presented. And the problem and synergy between economic and environmental considerations and the effect of cooling fluids in the machining operations, optimization of power/energy responses in determining optimal machining conditions are outlined.
Journal ArticleDOI

Exploring the application domain of friction stir welding in aluminum and other alloys

TL;DR: In this paper, the effects of tool pin profiles, feed rate, tool tilt angle and welding speed, etc., and mechanical and metallurgical behavior of FS welded joints have been reviewed.
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Bibliometric analysis of entropy weights method for multi-objective optimization in machining operations

TL;DR: In this article , a comprehensive scrutiny of the entropy weights method in machining operations (EWMiMO) is conducted. And the most productive authors, sources, publications, nations, and organizations are ranked based on the total number of citations.
References
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Additive manufacturing and its societal impact: a literature review

TL;DR: In this article, the societal impact of additive manufacturing from a technical perspective is reviewed, and an abundance of evidences are found to support the promises of additive-manufacturing in the following areas: (1) customized healthcare products to improve population health and quality of life, (2) reduced environmental impact for manufacturing sustainability, and (3) simplified supply chain to increase efficiency and responsiveness in demand fulfillment.
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Parametric appraisal of mechanical property of fused deposition modelling processed parts

TL;DR: In this paper, five important process parameters such as layer thickness, orientation, raster angle, Raster width and air gap are considered and their influence on three responses such as tensile, flexural and impact strength of test specimen is studied.
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Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach

TL;DR: A systematic overview of the state of the art in energy and resource efficiency increasing methods and techniques in the domain of discrete part manufacturing, with attention for the effectiveness of the available options is provided in this paper.
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Critical parameters influencing the quality of prototypes in fused deposition modelling

TL;DR: In this paper, the influence of process parameters on the quality characteristics of the prototypes using Taguchi technique has been assessed and the results of the study and the conclusions arrived from it.
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