Optimization of Compression Molding Process Parameters for NFPC Manufacturing Using Taguchi Design of Experiment and Moldflow Analysis

Chauhan, Vardaan; Kärki, Timo; Varis, Juha

doi:10.3390/pr9101853

Cited by 13 publications

(8 citation statements)

References 26 publications

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“…For instance, this software has been used to optimize four processing parameters (compression time, mold temperature, melt temperature, and pressure) for the manufacture of recycled thermoplastic reinforced with 10% wood fibers ( Figure ). [ 154 ] In another investigation, the injection pressures of polypropylene and a thermoplastic elastomer were optimized to achieve a high quality product with low warpage and little sink marks during the manufacture of multi‐material injection molded toothbrush handles. [ 155 ] The simulation of injection molding via Autodesk Moldflow also finds applications in the medical area.…”

Section: Processing and Fabricationmentioning

confidence: 99%

Application of Digital Methods in Polymer Science and Engineering

Schuett,

Endres,

Standau

et al. 2023

Adv Funct Materials

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The development of new polymer materials is an emerging field for more than 100 years. However, it is currently facing major challenges and the application of digital methods can help to develop new processes, discover new materials and, thus, contribute to the challenges of today and the future. Though, the application of digital methods in the field of polymer science is currently very limited, when compared to other classes of materials such as small molecules or inorganic high‐performance materials. Nevertheless, there are already first, very promising approaches. The current review article focuses on the application of these methods in different aspects of polymer research including polymer design, synthesis, and characterization. Furthermore, the digital discovery of polymer engineering is highlighted in detail showing the broad range of potential applications of these methods in polymer science. Finally, future possibilities and opportunities are derived from the current state‐of‐the‐art and perspectives for a potential evolution of polymer science are provided.

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Section: Processing and Fabricationmentioning

confidence: 99%

Application of Digital Methods in Polymer Science and Engineering

Schuett,

Endres,

Standau

et al. 2023

Adv Funct Materials

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“…Obiko et al [41] employed the Taguchi design method to assist numerical simulation in the optimization of the forging process. Chauhan et al [42] not only applied Moldflow analysis in the optimization of natural fiber polymeric composite but employed Taguchi design to assist in the optimization. Sharma and Sharma [43] employed the Taguchi design technique in the synthesis and structural analysis of a Cassia galactomannan hydroxypropyl derivative.…”

Section: Taguchi Singular and Multi-response Optimization Surveymentioning

confidence: 99%

Cost and Quality Optimization Taguchi Design with Grey Relational Analysis of Halloysite Nanotube Hybrid Composite: CNC Machine Manufacturing

Esangbedo

Abifarin

2022

Materials

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Researchers who work on manufacturing hybrid composites have significant concerns about holistically optimizing more than one performance characteristic, as in the case of cost and quality optimization. They usually trade off one for the other. Hence, this study employed statistical tools and grey relational analyses (GRA) design to model and optimize the surface roughness and cutting force of Computer Numerical Control (CNC) machine settings to manufacture halloysite nanotube hybrid composite. In this paper, the GRA was able to address the multiple optimization complications by producing 0.6 mm depth of cut, 1500 rpm spindle speed, and 40 mmpm feed rate as the CNC machine settings for high-quality and low-cost hybrid composite. It was noticed that the mathematical and interaction modeling of surface roughness, cutting force, and grey relational grade (GRG) allowed different CNC machines to manufacture hybrid composites. This can assist researchers and production engineers of CNC machines. Variance analysis and delta statistical characteristics revealed that the depth of a cut is the most significant machine setting, with a contribution of 49.12%. This paper outlines the possible CNC machine settings for high-quality composite manufacturing. In future studies, it is recommended for researchers in the field of CNC machine manufacturing to consider the modeling analysis aspect of the optimization, which comprehensively provides the opportunity for the adjustment of CNC machines for better material performance, which has been lacking in the literature.

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“…The Taguchi method is a technique that is common in process optimization in industry [13] . It promotes the orthogonal array (OA) as a process design that requires fewer experiments than other design of experiment (DoE) methods [14] . Researchers have repeatedly utilized the Taguchi method to optimize GTAW weldment responses [15] .…”

Section: Introductionmentioning

confidence: 99%

Taguchi Grey Relational Analysis of Mechanical Properties of Structural Steel Welding Made by Gas Tungsten Arc Welding

Elfallah

2024

sjuob

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Welding is a widely used method in industry for joining metals. Its applications include structures, fabrications, automobiles, oil and gas production, and others. Gas Tungsten Arc Welding (GTAW) is a common welding technique that produces higher-quality welds. Its application is mostly for stainless steel and aluminum welding due to its stable arc and focused heat source that produces a narrower heat-affected zone (HAZ). However, optimizing the welding process is a challenge for better-quality welds. This study utilizes the Grey-Taguchi method to optimize welding parameters for maximum tensile strength and hardness of structural steel welds. Structural steel, one of the most common materials involved in local industry, is normally welded by shielded metal arc welding (SMAW), while this work inspects the mechanical and microstructure properties of welds made by GTAW. The results presented higher tensile strength of weldments with decreased welding current. The V-groove-shaped weldments' tensile strength was higher than that of the samples with X-groove-shaped weldments. The Taguchi method has obtained that welding tensile strength is mostly influenced by the welding current, followed by groove shape, while welding speed has the least impact on the tensile strength. The grey relational analysis (GRA)concluded that groove shape had a higher impact on multi-response analysis. The welding factor's optimum settings are 170 A, groove shape V, and a welding speed of 150 mm/min.

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Optimization of Compression Molding Process Parameters for NFPC Manufacturing Using Taguchi Design of Experiment and Moldflow Analysis

Cited by 13 publications

References 26 publications

Application of Digital Methods in Polymer Science and Engineering

Application of Digital Methods in Polymer Science and Engineering

Cost and Quality Optimization Taguchi Design with Grey Relational Analysis of Halloysite Nanotube Hybrid Composite: CNC Machine Manufacturing

Taguchi Grey Relational Analysis of Mechanical Properties of Structural Steel Welding Made by Gas Tungsten Arc Welding

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