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43 articles for “optimization of multiple process parameters”
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Evaluation of Optimal Parameters for Wire EDM Machine on En45A Alloy Steel using Taguchi and Grey Relational Analysis (GRA) Method
Abstract: The core goal of this research paper is to evaluate process parameters of wire electrical discharging machining and to find out the best parameter among the multiple responses given by machine. Wire cut machine is very accurate and precise machine which is actually manufactured to cut those material which have high strength, toughness, and hardness. This machine works on melting property; here spark is generated between the work piece and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 1, 2016 · pp. 11–21 Read article
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Multi-variable Analysis and Optimization of Electrical Discharge Machining Process Using a PCA-ANN Based Approach
Abstract: AbstractThe optimum selection of process parameters has played a crucial role in electrical discharge machining (EDM) for improving the material removal rate, reducing the tool wear rate and radial overcut. In this paper, optimum parameters while machining 202 stainless steel using copper electrode as a tool has been investigated. For optimization of process parameters along with multiple quality characteristics, principal component analysis coupled with artificial neural network method has been …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 3, 2016 · pp. 39–45 Read article
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Optimization of Multiple Performance Characteristics Using Desirability Function Analysis (DFA)
Abstract: In present days the manufacturers are facing many challenges in setting of optimal process parameters while machining in order to achieve multiple performance characteristics. The present work is to investigate the effect of the drilling process parameters on the multiple responses of Volume of material removal rate (VMRR) and surface roughness (Ra). The experiments were carried out on AA6082 material using taguchi’s L16 Orthogonal array with carbide twisted drills. The …
Published in Journal of Production Research & Management · Vol. 8, Issue 2, 2018 · pp. 23–29 Read article
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Optimization of WEDM Process Parameters Using a Hybrid Multi-Criteria Decision Making Approach
Abstract: The effectiveness of the manufactured parts is typically measured by more than one performance characteristics. Hence the manufacturing engineers frequently experience the difficulty in optimizing the multiple responses at a time. The present work is to explore the effect of wire electrical discharge machining (WEDM) process parameters in machining of Aluminum metal matrix composite (AMMC). The multiple performance characteristics of material removal rate (MRR) and surface roughness (Ra) are optimized …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 3, 2018 · pp. 24–30 Read article
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Optimization of Process Parameters in EDM
Abstract: Extensive research has been done till date to improve the performance of electrical discharge machining (EDM). In the past few years, the Taguchi method has played an important role in the optimization of process parameters. However, many of the studies have focused on static or single-quality characteristics such as smaller-is-better, larger-is-better, and nominal-is-best. The Taguchi method is best suitable for relative analysis. The prime drawback here to mention is that …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 2, 2021 · pp. 21–28 Read article
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Optimization of Sustainable Electrochemical Machining Parameters for Polymer based Materials Using AHP Integrated TOPSIS Method
Abstract: The current paper describes the use of the AHP-TOPSIS method to optimize process parameters in sustainable electrochemical machining of polymer composites. Combine lightweight polymer matrices with reinforcing particles or fibers such as TiB₂, SiC, or Al₂O₃, offering high strength-to-weight ratio, corrosion resistance, and design flexibility, making them ideal for aerospace and automotive applications. Non-conductive and heterogeneous nature poses challenges during electrochemical machining, as it affects current distribution and material removal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1048–1059 Read article
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ANN Controlled Plasma Spray Process by using Industrial Waste
Abstract: Plasma spray coating process has become a subject of intense research because it becomes an affordable solution for many industrial applications. The present work aims at developing and studying the industrial wastes (Flay-ash powder mixture) as the coating material, which is to be deposited on Mild Steel and Cupper substrates. To increase the coating deposition efficiency and to decrease the cost of coating process, one of the artificial intelligence (AI) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 3, 2013 · pp. 1–6 Read article
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Multi-Objective Optimization of Carbon-Glass Fiber Polymer Drilling Process Based on Fuzzy Grey Entropy Weighing Method
Abstract: In recent years, the machining characteristics of hybrid fiber polymer composites have garnered significant research attention due to their growing industrial applications. This study specifically focuses on the drilling of hybrid carbon-glass fiber reinforced (CGFR) epoxy composites, fabricated using the hand layup technique. The key machining characteristics evaluated in this drilling process include surface roughness and circularity error. The influence of critical drilling process parameters, such as spindle speed, drill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 100–112 Read article
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Effect of Varying Surface Grinding Parameters for AISI 1018 Mild Steel by Taguchi based PCA
Abstract: The main purpose of this work is to study the effects of surface grinding parameters on AISI 1018 Mild steel work surface by using three process parameters like Wheel speed (WS), Table speed (TS) and Depth of cut (DOC). This work was conducted on surface grinding machine with model number HMT-P452. Taguchi’s L16 orthogonal array is used which takes sixteen experimental runs to achieve the design matrix of surface grinding …
Published in Journal of Catalyst & Catalysis · Vol. 5, Issue 2, 2018 · pp. 5–14 Read article
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Optimization of Process Parameters in EDM Machine with AISI 304 Stainless Steel using TOPSIS
Abstract: The effective solution based on TOPSIS approach to determine the optimal process parameters in die sinking electrical discharge machining. Taguchi L9 orthogonal array is used to gather information regarding the process with less number of experimental runs. Experiments have been conducted using three process parameters such as peak current, gap voltage, pulse on time, with three levels are selected to optimize the multiple objectives. AISI 304 stainless steel as a …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 3, 2016 · pp. 33–38 Read article
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Multi Objective Optimization in Turning Parameters of Al 6463 using Principal Component Analysis
Abstract: AbstractIn multi objective optimization, weight criterion of each objective is important for producing better and accurate solutions. Now a day, due to the growing requirement of the higher precision apparatus for its useful aspect, machining time (MT) and material removal rate (MRR) of a machined part plays a significant role in the modern manufacturing process. This study focuses on optimizing CNC turning parameters on Al 6463 based on principal component …
Published in Journal of Materials & Metallurgical Engineering · Vol. 7, Issue 2, 2017 · pp. 6–15 Read article
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Multi Objective Optimization of Weld Bead Geometry Parameters of Pulsed Current Micro Plasma Arc Welded Inconel 625 Using Enhanced Non-dominated Sorting Genetic Algorithm
Abstract: Pulsed Current Plasma Arc Welding (PCPAW) is one of the most widely used welding processes in sheet metal manufacturing industry. In any fusion arc welding process, the weld bead geometry plays an important role in determining the mechanical properties of the weld and hence, quality of the weld. Moreover, the geometry of weld bead involves several simultaneously multiple quality characteristics such as front width, back width, front height and back …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 1, 2013 · pp. 17–24 Read article
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Utilizing Machine Learning to Evaluate the Connection between Poisson's Ratio and the Petrophysical Properties of Reservoir Rocks
Abstract: The Poisson's ratio is a crucial cornerstone, illuminating our understanding of geomechanical behaviour in wells during the dynamic drilling process and the inspiring recovery journey. This research rigorously employs machine learning methods to analyse the significant impact of geophysical parameters on the Poisson ratio in hydrocarbon reservoirs found in oil fields. The analysis utilized data from multiple oil and gas fields, highlighting the crucial relationships between the Poisson ratio, the …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 33–43 Read article
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An Experimental Investigation of Machining Parameters on Aluminum Composites
Abstract: The need for a material with good mechanical, thermal, and wear resistant properties is satisfied by aluminum composite. However, the biggest obstacle to substituting it with alternative materials is the machining challenges. For this kind of hard-to-cut material, electric discharge machining is a very efficient method. Thus, using a Taguchi-based method, an attempt has been made to determine the most advantageous amount of input parameters for EDM of Al composite. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 8–13 Read article
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Simultaneous Optimization of Multiple Performance Characteristics in MIG Welding for Machining AISI-304 Stainless Steel by Weighted Principle Component Analysis
Abstract: The effect of MIG welding parameters specifically Welding current, Voltage, Gas flow rate and Plate thickness during welding of AISI-304 stainless steel Material on MIG welding machine at different level presents in this work. All the welding parameters are modeled using Taguchi-based Principle Component Analysis (PCA). Principal component is used as multiple responses optimizing technique to drive optimal solution, which gives the overall quality index in experimental process, and finally …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 77–85 Read article
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Optimization of Machining Parameters for End Milling of 1018 Mild Steel using Taguchi based Grey Relational Analysis
Abstract: The present work investigate the parametric optimization of end milling operation for 1018 mild steel with multiresponse criteria based on Taguchi approach with the Grey relational Analysis. Taguchi’s L9 orthogonal array which takes nine experimental runs was used to execute the design matrix of machining parameters. Cutting speed (CS), Feed (FD), Cutter RPM and Depth of cut (DOC) are optimized with the consideration of multiple performance characteristics namely Machining time …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 2, 2016 · pp. 36–47 Read article
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Optimizating Pitting Corrosion in 3.5 N NaCl Medium of Pulsed Current Micro Plasma Arc Welded AISI 304L Sheets Using Genetic Algorithm
Abstract: Austenitic stainless steel sheets have gathered wide acceptance in the fabrication of components, which require high temperature resistance and corrosion resistance, such as metal bellows used in expansion joints in aircraft, aerospace and petroleum industry. In case of single pass welding of thinner sections of this alloy, pulsed current micro plasma arc welding (PCMPAW) was found beneficial due to its advantages over the conventional continuous current process. This paper highlights …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 132–142 Read article
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Smart Crop Recommendation Using IoT Sensor for Precision Agriculture
Abstract: This study addresses precision agriculture, which leverages modern technologies to enhance farming efficiency and sustainability. This study proposes a Smart Crop Recommendation System using IoT sensors to optimize crop selection based on real-time environmental conditions. The system integrates multiple sensors, including a temperature sensor, flame sensor, soil sensor, moisture sensor, and LDR sensor, to monitor crucial parameters such as temperature, soil moisture, light intensity, and fire hazards. An Arduino microcontroller …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 29–41 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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Tailoring the Compressive Behavior of Tetra-Chiral Auxetic Structures through FDM Process Parameters
Abstract: This research evaluates how fused deposition modeling (FDM) fabrication process parameters affect the compressive behavior of tetra-chiral auxetic structures created from Polylactic Acid (PLA). Auxetic materials have a number of useful properties, including reversible deformation and high-energy absorbing capabilities, which are beneficial to creating ultra-lightweight structural, protective, and shock-resistance designs. Among the available auxetic topologies, the tetra-chiral configuration is particularly attractive for engineering use, because its rotation-dominated node–ligament deformation gives …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article