Search
1548 articles for “Process Optimization”
-
Optimization of FDM 3D Printer Process Parameters For PETG Material Using TOPSIS Technique
Abstract: 3D printing is a quickly evolving process that builds the desired shape by layering on material. In the era of modern production, additive manufacturing has grown in significance due to its user-friendliness. By using this technique, one can produce complex & intricate geometries with much ease when compared to conventional manufacturing. With the increased demand for 3D printing, consideration towards strength quality and other mechanical properties is also increasing progressively. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 601–609 Read article
-
Optimization of turning process parameters for Titanium grade 5 using Taguchi method
Abstract: In the contemporary world, the standard of the surface end is most significant demand for several turned work piece due to that maker's square measure seeking to stay competitive in the market. Taguchi parameter style is a powerful tool and efficient methodology for optimizing quality and performance output of the producing method. This paper investigates the parameters poignant the surface roughness manufacture in turning method for material Titanium Grade 5. …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 2, 2019 · pp. 17–22 Read article
-
Optimization of Machining Process Parameters in Hard Turning of AISI D3 Tool Steel
Abstract: Machining operation is still irrefutably vital process in manufacturing, that involves complex relation of input parameters (like cutting speed, feed rate, depth of cut, nature of cooling, etc.) to output parameters (like surface finish, tool life, tool wear, machining time, machining cost, etc.). Numerous efforts were noticed in literature, to relate these parameters with each other so as to implement cost effective machining with least efforts. This paper presents one …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 1, 2017 · pp. 23–30 Read article
-
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
-
Factors Affecting Shear Stress on Tablet Hardness and Disintegration
Abstract: The quality and effectiveness of pharmaceutical tablets depend heavily on several factors influencing shear stress on tablet hardness and disintegration. These factors include formulation composition, wherein the selection and concentration of excipients and active ingredients affect how the tablet material responds to shear stress. Additionally, the compression force, speed, and duration during tablet compression are critical, impacting tablet hardness and disintegration properties. Tablet geometry and design, along with tablet press …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 1–19 Read article
-
Design of Differential Evolution Optimized PI Controller for a Temperature Process
Abstract: Differential evolution is a new stochastic population-based optimization algorithm. It is an accurate, fast and robust optimization method. In this paper, a PI controller is used and differential evolution optimization technique is used to optimize the controller parameters. The robust controller parameters are obtained by solving the optimization problem, which consists of objective functions and constraints, using differential evolution method. Here differential evolution is implemented in tuning of a PI …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 17–26 Read article
-
Hybridizing Principle of TOPSIS with Regression Metamodel Approach for the Optimization of CNC-WEDM Process Parameters
Abstract: Experiment is conducted on a Computer Numerical Control wire electric discharge machine under different conditions of process parameters. The experiment is carried out by using Aluminum Alloy AA6061 as a work material and a Brass wire as a cutting tool in CNCWEDM. This paper aims to develop a combination of DOE and Entropy based TOPSIS to solve multi response parameter optimization problems. An experimental investigation was carried out based on …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 18–25 Read article
-
Optimization and Modelling of Process Parameters for Turning Operation on Cnc Lathe for ASTM A242 Type-2 Alloy Steel by Regression Analysis and Artificial Neural Network
Abstract: The purpose of this project is focussed on the modelling of cutting conditions to get the lowest surface roughness in turning ASTM A242 TYPE-2 ALLOYS STEEL by Artificial Neural Network and Regression Analysis method on the CNC lathe. The process of metal cutting has been well researched over the years; relatively small research has been carried out on the cutting of alloy of ASTM A242 grade materials. In this study, …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 40–51 Read article
-
Optimization of TIG Welding Process Parameters of Ss 304 By Taguchi Method and Grey Relation Analysis
Abstract: TIG welding is one of the widely used welding processes in manufacturing industries. In any of the welding processes, many factors play a vital role in obtaining strength of welding joint like bead geometry. So, there is need of optimizing the TIG process for a better so in this paper optimization of various TIG parameters have been done like bead geometry, penetration, and HAZ (Heat Affected Zones) on the basis …
Published in Journal of Production Research & Management · Vol. 9, Issue 3, 2019 · pp. 27–40 Read article
-
Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "FertileData: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a user-friendly …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
-
Fertiledata: Advanced Strategies For Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
-
Optimization of Green Sand Casting Process Using Genetic Algorithm
Abstract: This research includes minimization of some of the sand casting defects like Blowholes, Cracks, Porosity using genetic algorithm. Data collection is carried out from medium scale sand casting industry. Some of critical parameters like moisture, permeability, LOI, compressive strength, volatile content, vent holes, pouring time, pouring temperature and mould hardness are identified in the process. L27 orthogonal array is selected. Genetic algorithm is used to optimized the process parameters. Process …
Published in Trends in Machine design · Vol. 4, Issue 2, 2017 · pp. 25–29 Read article
-
Enhancing Production Line Efficiency: Simulating and Optimizing Single and Parallel Line Processes
Abstract: During a time of fast-paced industrial growth, increasing production line effectiveness is a core issue for manufacturers looking to maximize output, reduce waste, and stay competitive. This study explores the use of simulation-based optimization methods to enhance single and parallel production line designs. Stepping beyond traditional trial-and-error methods, the research utilizes Siemens Tecnomatix Plant Simulation to simulate actual manufacturing scenarios, considering intricacies like buffer capacities, machine sequencing, and event-driven scheduling. …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 22–32 Read article
-
Optimisation of Biodiesel synthesis process from various edible oils using KOH and NaOH as homogeneous catalysts
Abstract: In the present experimental study, an optimization of biodiesel production from different kinds of edible oils (Palm oil, Cotton-seed oil and Sunflower oil) using KOH & NaOH as homogenous catalyst has been investigated by one step transesterification method. The research study was conducted into two parts. In the first experimental study, different types of edible oils (Sunflower oil, Cottonseed oil and Palm oil) have been optimised using KOH and NaOH …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 2, 2024 · pp. 69–77 Read article
-
Simultaneous Optimization of MIG Welding Process Parameters Using Taguchi with Principle Component Analysis
Abstract: The aim is to verify the optimum parameters in MIG welding of mild steel for achieving the best result. The three parameters taken for welding are welding current (WC), welding speed (WS) and voltage (V) at three levels. The various parameters which have been used here are modeled by performing experiments in principal component analysis (PCA) based on Taguchi. On applying principle component analysis (PCA),all the input factors are converted …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 3, 2019 · pp. 13–21 Read article
-
Structural Optimization of FDM-Processed ASA Polymer Frames through Acetone Solvent Welding, Variable Infill Strategy, and Layer Orientation: Experimental Validation via Quadcopter Flight Testing
Abstract: Acrylonitrile styrene acrylate (ASA) is an amorphous terpolymer with superior UV resistance compared to acrylonitrile butadiene styrene (ABS), as its acrylate rubber phase lacks photodegradation-prone carbon–carbon double bonds. This study proposes acetone solvent welding as a polymer joining method to produce monolithic structures from FDM-processed ASA components, addressing three processing challenges: achieving structural continuity through polymer chain interdiffusion at solvent-wetted interfaces, correcting thermal warping via post-print geometric correction during welding, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 689–703 Read article
-
Leveraging IoT and AI for Real-Time Monitoring and Optimization of Polymer Production Processes
Abstract: Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) technology provides a transformational potential for the polymer manufacturing business, allowing for real-time monitoring and better control of production processes. This paper explores the synergistic application of IoT and AI to achieve greater efficiency, sustainability, and quality control in polymer manufacturing. IoT sensors and devices may capture massive volumes of data from different phases of the manufacturing process, delivering real-time …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–16 Read article
-
Fabrication and Characterization of Hybrid Composites Using Natural Fibers Reinforced in HDPE and Optimization of Injection Moulding Process Parameters to Minimize Shrinkage
Abstract: Materials are crucial for advancing human living standards. Over the past 20 years, composite materials have garnered significant attention owing to their unique properties and applications across various sectors. This study outlines the creation and analysis of a novel series of natural fiber-based composites, which incorporate jute, sisal, and hemp as reinforcements, with high-density polyethylene (HDPE) serving as the matrix, and produced through injection moulding. This study examines the effects …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 556–585 Read article
-
Simulation and Optimization of Syngas Generation Process (GTL Stage I) using ASPEN Hysys
Abstract: The process of gas to liquid (GTL) conversion has been divided into three sections (section I: natural gas treatment and syngas production; section II: is Fischer Tropsch Synthesis sections (Main Reactors) and Stage III: Upgrading and treatment section).This work is mainly for Stage I. whereby Natural gas dehydration unit is simulated using Tri-ethylene Glycol to dehydrate the natural gas which includes (Free Water Knockout Drum (FWKD), Absorber and Distillation). Sweetening …
Published in Journal of Petroleum Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 48–67 Read article
-
Parametric Optimization of TIG Welding Process in Butt Joining of AISI 310 Austenitic Stainless Steel Materials
Abstract: Tungsten inert gas (TIG) welding is an arc welding process that uses a non-consumable tungsten electrode to produce the weld. Selection of the levels of the input parameters plays a very significant role in determining the quality of a weld joint. The present study is planned to investigate effects of process parameters: welding current, gas flow rate and arc gap on ultimate tensile strength in TIG welding of austenitic stainless …
Published in Journal of Production Research & Management · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article