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30 articles for “design of experiments (DOE)”
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Prediction of Process Parameters of Friction Stir Welding Using Artificial Neural Network
Abstract: In this paper an artificial neural network (ANN) approach is used to predict the process parameters of friction stir welding (FSW). Initially, the experiments are conducted using the design of experiment (DoE) approach on FSW using L27 orthogonal array. The experiments are conducted using speed, feed, and tool tilt angle as input parameters for DoE and tensile strength, hardness, and ductility as output. ANN is created having 25 neurons and …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 13–25 Read article
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Performance of Water Injection in Oil Rim Reservoir Recovery Factor
Abstract: This study examines the potential improvements in recovery factors in optimizing oil production from oil rim reservoirs through water injection and without water injection (i.e. primary production) scenarios in the development strategies of the oil rim reservoirs. A generic simulation model developed from ECLIPSE dynamic simulator was used as core representative of oil rim reservoirs to experiment production optimization with and without water injection. Reservoir data of permeability, oil rim …
Published in Journal of Petroleum Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 31–38 Read article
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Operational Modeling of Cutting Parameters Influence on Power Consumption and Surface Roughness in CNC Turning of AISI 304
Abstract: This paper describes the power consumption and surface roughness predictive model development in computer numerical control (CNC) turning of AISI 304 austenitic stainless steel using Taguchi method and response surface method (RSM). The experiments are designed and conducted based on Taguchi’s design of experiments (DoE) with cutting speed, feed rate, depth of cut and nose radius as the process parameters. Signal-to-noise (S/N) ratios of responses are calculated to identify the …
Published in Journal of Production Research & Management · Vol. 3, Issue 1, 2013 · pp. 8–15 Read article
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Optimization of Surface Roughness and Material Removal Rate for Dry Turning Operation in CNC Lathe UsingTaguchi Method
Abstract: In this work the cutting of AISI 1045 material will be carried out using CNC lathe followed by Taguchi methodology. Taguchi method is usedto formulate the experimental layout. A Taguchi L9 design of experiment (DOE) will be applied and the analysis ofvariance (ANOVA) will carried out to determine the effect of process parameters on process performance. To analysethe effect of each parameter on the machining characteristics and to predict the …
Published in Trends in Machine design · Vol. 5, Issue 1, 2018 · pp. 46–53 Read article
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Experimental Investigation of Overall Heat Transfer Coefficientin Drop wise Condensation
Abstract: The experiments are performed to study the heat transfer characteristics over a drop wise condensation. The phenomenon of drop wise condensation is in which the condensate forms into drops rather than covering the entire cooling surface with a continuous film. In drop wise condensation, heat transfer coefficient produced is 2 to 10 times greater than those produced by film wise condensation. Hence drop wise condensation is desirable as it is …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 2, 2021 · pp. 17–21 Read article
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Sand Casting Process Optimization via Design of Experiments: A Review
Abstract: Designing and optimizing of gating is an essential part of casting foundry as it contributes significantly to predict and minimize the flow turbulence resulting to casting defects like rough surface, sand inclusion, etc. An Optimization scheme for gating design parameters for casting was proposed with different past studies of the researches. Various designs were modeled and mould filling simulation rooted to minimize turbulence and macro defects are recommended in this …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 1–4 Read article
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Investigation on Torque and Thrust Forces in Radial Drilling of Copper Alloys
Abstract: As a part of research over improvement of machining process; cutting forces, metal removal rate (MRR) and surface finish on mechanical elements has become quite significant in the operational and aesthetical point of view. To enhance accuracy and precision by adopting energy saving techniques, manufacturing firms are adopting automated systems in order to achieve manufacturing excellence. In the present work, the effect of various process parameters like spindle speed, feed, …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 2, 2016 · pp. 6–19 Read article
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Optimization of Process Parameters for ABS, Nylon, Polypropylene Material in Injection Molding Using Taguchi Method
Abstract: The process of plastic injection molding (IMP) itself is a multifarious of time, temperature and pressure variables with a profusion of manufacturing defects that can occur without upright fusion of processing parameters and design components. Ascertaining the reform foremost process parameter settings commentative dominates productivity, quality, and costs of production in the plastic injection molding industry. Most plastic injection molding industries are using trial-and-error method/approximation method, based on experience of …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 1–9 Read article
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Design of Experiments of an Effective Thermal Conductivity of Composite Matrix by using Numerical Simulation
Abstract: Effective thermal conductivities of fillers and matrix reinforced composite models are analysed by using Finite Element (FE) simulation. The process parameters of different filler concentrations, filler piece arrangements and thermal conductivity ratio are analysed by Design of Experiment. In this study, simulation based on fully replicable five -factor, five-level central composite design. Regression models are developed to analyze the effects of process parameter. The responses are analyzing the direct and …
Published in Recent Trends in Fluid Mechanics · Vol. 6, Issue 2, 2019 · pp. 1–18 Read article
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Experimental investigation on non-linearity in understanding large scale fires
Abstract: Fire doesn't spread in a uniform manner it has an unpredictable nature. The pervasive uncertainty associated with large-scale fires has resulted in the irreparable loss of invaluable human lives, natural resources, critical infrastructure, and systems. To combat this significant issue, substantial financial investments are made annually in research endeavours aimed at preventing and mitigating such devastating incidents. These dedicated research efforts strive to develop innovative strategies, cutting-edge technologies, and robust …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 1, 2023 · pp. 27–40 Read article