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Selection of optimum parameters in multi-pass face milling for maximum energy efficiency and minimum production cost
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Outgoing claims: the papers this work cites, builds on, or argues with.
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An Investigation into Fixed Energy Consumption of Machine Tools
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Optimisation of multi-pass cutting parameters in face-milling based on genetic search
inferredcites →https://doi.org/10.1007/s00170-010-2927-5openalex-snapshot
Optimization of multi-pass face milling using a fuzzy particle swarm optimization algorithm
inferredcites →https://doi.org/10.1016/0890-6955(89)90070-9openalex-snapshot
Automatic tool selection for rough turning operations
inferredcites →https://doi.org/10.1016/j.asoc.2009.08.007openalex-snapshot
Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms
inferredcites →https://doi.org/10.1016/j.asoc.2012.06.007openalex-snapshot
An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process
inferredcites →https://doi.org/10.1016/j.cirp.2011.03.088openalex-snapshot
Calculation of optimum cutting parameters based on minimum energy footprint
inferredcites →https://doi.org/10.1016/j.jclepro.2003.10.004openalex-snapshot
Environmentally benign manufacturing: Observations from Japan, Europe and the United States
inferredcites →https://doi.org/10.1016/j.jclepro.2010.01.025openalex-snapshot
Sustainable machining: selection of optimum turning conditions based on minimum energy considerations
inferredcites →https://doi.org/10.1016/j.jclepro.2012.10.015openalex-snapshot
Modelling of direct energy requirements in mechanical machining processes
inferredcites →https://doi.org/10.1016/j.jclepro.2012.11.003openalex-snapshot
Optimization of cutting fluids and cutting parameters during end milling by using D-optimal design of experiments
inferredcites →https://doi.org/10.1016/j.jclepro.2013.02.030openalex-snapshot
Multi-objective optimization of milling parameters – the trade-offs between energy, production rate and cutting quality
inferredcites →https://doi.org/10.1016/j.jclepro.2013.03.049openalex-snapshot
Optimization of cutting parameters for minimizing energy consumption in turning of AISI 6061 T6 using Taguchi methodology and ANOVA
inferredcites →https://doi.org/10.1016/j.jclepro.2013.04.028openalex-snapshot
Control of machining parameters for energy and cost savings in micro-scale drilling of PCBs
inferredcites →https://doi.org/10.1016/j.jclepro.2013.10.025openalex-snapshot
Optimization of process parameters using a Response Surface Method for minimizing power consumption in the milling of carbon steel
inferredcites →https://doi.org/10.1016/j.jclepro.2013.11.018openalex-snapshot
Investigating the Minimum Quantity Lubrication in grinding of Al2O3 engineering ceramic
inferredcites →https://doi.org/10.1016/j.jclepro.2014.05.099openalex-snapshot
Empirical models for specific energy consumption and optimization of cutting parameters for minimizing energy consumption during turning
inferredcites →https://doi.org/10.1016/j.jclepro.2015.02.076openalex-snapshot
Multi-objective parameter optimization of CNC machining for low carbon manufacturing
inferredcites →https://doi.org/10.1016/j.jmatprotec.2008.05.029openalex-snapshot
Optimization of multi-pass face-milling via harmony search algorithm
inferredcites →https://doi.org/10.1016/j.neucom.2004.07.002openalex-snapshot
An improved PSO-based ANN with simulated annealing technique
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The power of a paired t-test with a covariate
inferredcites →https://doi.org/10.1080/00207543.2012.709643openalex-snapshot
Applying an electromagnetism-like mechanism algorithm on parameter optimisation of a multi-pass milling process
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/cec.2002.1004404openalex-snapshot
Multiobjective optimization using a Pareto differential evolution approach
inferredcites →https://doi.org/10.1109/tap.2008.924717openalex-snapshot
Memory Enhanced PSO-Based Optimization Approach for Smart Antennas Control in Complex Interference Scenarios
inferredcites →https://doi.org/10.1109/tevc.2004.826067openalex-snapshot
Handling multiple objectives with particle swarm optimization
inferredcites →https://doi.org/10.1243/pime_proc_1992_206_052_02openalex-snapshot
Optimum Cutting Conditions for Turned Components
inferredcites →https://doi.org/10.1299/jamdsm.4.1221openalex-snapshot
Characteristics of Additional Load Losses of Spindle System of Machine Tools
inferredcites →https://doi.org/10.4028/www.scientific.net/amr.160-162.1738openalex-snapshot
Cutting Parameter Optimization for Multi-Pass Milling Operations by Genetic Algorithms
inferredcites →https://doi.org/10.48550/arxiv.0902.0763openalex-snapshot
Genetic algorithm based optimization and post optimality analysis of multi-pass face milling
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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OPTIMIZATION EXPERIMENTAL STUDY OF MACHINING ENERGY CONSUMPTION OF ZIG-ZAG MILLING CUTTING PATH USING RSM.
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A General Empirical Energy Consumption Model for Computer Numerical Control Milling Machine
inferred← citeshttps://doi.org/10.1177/09544089261431945openalex-snapshot
Synergistic optimization for industrial decarbonization: Balancing environmental impact, economic benefits, and performance in steel machining
inferred← citeshttps://doi.org/10.1177/1063293x251329705openalex-snapshot
A comparative analysis of evolutionary techniques for material removal power prediction of milling operations
inferred← citeshttps://doi.org/10.1177/16878132231196408openalex-snapshot
Prediction of QCE using ANN and ANFIS for milling Alloy 2017A
inferred← citeshttps://doi.org/10.1177/1687814019829588openalex-snapshot
Multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm
inferred← citeshttps://doi.org/10.1177/1729881419893508openalex-snapshot
The optimization of accuracy and efficiency for multistage precision grinding process with an improved particle swarm optimization algorithm
inferred← citeshttps://doi.org/10.1186/s10033-025-01258-yopenalex-snapshot
Geometric Accuracy Design of High Performance CNC Machine Tools: Modeling, Analysis, and Optimization
inferred← citeshttps://doi.org/10.1520/ssms20170008openalex-snapshot
An Improved Predictive Model for Energy Estimation in Milling
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Multi-objective Optimization of Hard Milling Using Taguchi Based Grey Relational Analysis
inferred← citeshttps://doi.org/10.22190/fume190605043dopenalex-snapshot
OPTIMIZATION OF MULTI-PASS FACE MILLING PARAMETERS USING METAHEURISTIC ALGORITHMS
inferred← citeshttps://doi.org/10.33108/visnyk_tntu2021.01.102openalex-snapshot
Structural improvement of face mills designs based on systems approach
inferred← citeshttps://doi.org/10.3390/app11052126openalex-snapshot
Least Squares Boosting Ensemble and Quantum-Behaved Particle Swarm Optimization for Predicting the Surface Roughness in Face Milling Process of Aluminum Material
inferred← citeshttps://doi.org/10.3390/app11167366openalex-snapshot
A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems
inferred← citeshttps://doi.org/10.3390/en11082013openalex-snapshot
Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes
inferred← citeshttps://doi.org/10.3390/en17153659openalex-snapshot
A Review on Recent Advances in the Energy Efficiency of Machining Processes for Sustainability
inferred← citeshttps://doi.org/10.3390/machines12120876openalex-snapshot
The Intelligent Monitoring Technology for Machining Thin-Walled Components: A Review
inferred← citeshttps://doi.org/10.3390/s24072324openalex-snapshot
Cyber–Physical Systems for High-Performance Machining of Difficult to Cut Materials in I5.0 Era—A Review
inferred← citeshttps://doi.org/10.3390/su12020638openalex-snapshot
Analysis of Multi-Objective Optimization of Machining Allowance Distribution and Parameters for Energy Saving Strategy
inferred← citeshttps://doi.org/10.36937/ben.2022.4683openalex-snapshot
Optimization of Load Values in Pipe Hydroforming Process Using A Fuzzy Load Control Algorithm
inferred← citeshttps://doi.org/10.4028/www.scientific.net/ssp.265.672openalex-snapshot
Limiting Product Surface and its Use in Profile Milling Design Operations
inferred← citeshttps://doi.org/10.4028/www.scientific.net/ssp.299.852openalex-snapshot
The Processing of the Profile Surface of the Work-Pieces, Characterized by Low Rigidity
inferred← citeshttps://doi.org/10.61186/jamlu.20.2.25openalex-snapshot
Green Scheduling in Flexible Flow Shop with Machine-Dependent Processing Stages, Machines Eligibility, and Release Time
inferred← citeshttps://doi.org/10.70675/1504464az7ab3z4a89zbe1fzd7b3b3535568openalex-snapshot
Nouvelle méthode de génération de gammes de fabrication prenant en compte des paramètres économiques et environnementaux
inferred← citeshttps://doi.org/10.70675/95c2963dz25f3z47feza86ez66d395cb68a6openalex-snapshot
Unsupervised actuator signature separation from non-intrusive sensors in industrial processes : Applications to the energy sustainability of heterogeneous systems.
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