On the public citation graph

Modelling and Optimization Method for Energy Saving of Cnc Machine Tools Under Operating Condition

0 signed · 33 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-19692-8_46openalex-extracted
Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use
inferredcites →https://doi.org/10.1007/s00170-021-07772-2openalex-extracted
Multi-objective integrated optimization of tool geometry angles and cutting parameters for machining time and energy consumption in NC milling
inferredcites →https://doi.org/10.1007/s00521-021-05877-zopenalex-extracted
Multi-objective optimization of steel AISI 1040 dry turning using genetic algorithm
inferredcites →https://doi.org/10.1007/s10845-016-1233-yopenalex-extracted
A comprehensive approach to parameters optimization of energy-aware CNC milling
inferredcites →https://doi.org/10.1007/s10845-020-01559-0openalex-extracted
Estimation of tool wear and optimization of cutting parameters based on novel ANFIS-PSO method toward intelligent machining
inferredcites →https://doi.org/10.1007/s10845-020-01648-0openalex-extracted
Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence
inferredcites →https://doi.org/10.1007/s10845-022-02030-yopenalex-extracted
State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model
inferredcites →https://doi.org/10.1007/s12666-015-0525-9openalex-extracted
Optimization of Micro-milling Parameters Regarding Burr Size Minimization via RSM and Simulated Annealing Algorithm
inferredcites →https://doi.org/10.1016/j.aei.2014.09.002openalex-extracted
An integrated neuro-genetic approach incorporating the Taguchi method for product design
inferredcites →https://doi.org/10.1016/j.aei.2018.02.002openalex-extracted
Comparison of multi-objective evolutionary algorithms in hybrid Kansei engineering system for product form design
inferredcites →https://doi.org/10.1016/j.aei.2021.101357openalex-extracted
Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm
inferredcites →https://doi.org/10.1016/j.aei.2022.101525openalex-extracted
Intelligent decision-making model in preventive maintenance of asphalt pavement based on PSO-GRU neural network
inferredcites →https://doi.org/10.1016/j.cirpj.2012.03.007openalex-extracted
Energy efficient process planning for CNC machining
inferredcites →https://doi.org/10.1016/j.energy.2017.05.110openalex-extracted
Energy consumption in machining: Classification, prediction, and reduction strategy
inferredcites →https://doi.org/10.1016/j.energy.2019.02.157openalex-extracted
Integrated optimization of cutting tool and cutting parameters in face milling for minimizing energy footprint and production time
inferredcites →https://doi.org/10.1016/j.energy.2023.127244openalex-extracted
A multi-dimension coupling model for energy-efficiency of a machining process
inferredcites →https://doi.org/10.1016/j.eswa.2020.113338openalex-extracted
Chimp optimization algorithm
inferredcites →https://doi.org/10.1016/j.ijmecsci.2022.107191openalex-extracted
Roughness maps to determine the optimum process window parameters in face milling
inferredcites →https://doi.org/10.1016/j.jallcom.2018.12.105openalex-extracted
A study on performance characteristics and multi response optimization of process parameters to maximize performance of micro milling for Ti-6Al-4V
inferredcites →https://doi.org/10.1016/j.jclepro.2010.01.025openalex-extracted
Sustainable machining: selection of optimum turning conditions based on minimum energy considerations
inferredcites →https://doi.org/10.1016/j.jclepro.2012.10.015openalex-extracted
Modelling of direct energy requirements in mechanical machining processes
inferredcites →https://doi.org/10.1016/j.jclepro.2016.07.086openalex-extracted
Selection of optimum parameters in multi-pass face milling for maximum energy efficiency and minimum production cost
inferredcites →https://doi.org/10.1016/j.jclepro.2017.08.022openalex-extracted
Optimization of process parameters for minimum energy consumption based on cutting specific energy consumption
inferredcites →https://doi.org/10.1016/j.jclepro.2019.118714openalex-extracted
Dual-objective program and improved artificial bee colony for the optimization of energy-conscious milling parameters subject to multiple constraints
inferredcites →https://doi.org/10.1016/j.jclepro.2024.141356openalex-extracted
Energy index for evaluating machine tool energy performance: Classification, model and application
inferredcites →https://doi.org/10.1016/j.jmapro.2020.06.026openalex-extracted
Multiobjective optimisation of nanosecond fiber laser milling of 2024 T3 aluminium alloy
inferredcites →https://doi.org/10.1016/j.jmapro.2022.09.040openalex-extracted
A novel approach to model the energy consumption of machine tools for machining cylindrical parts
inferredcites →https://doi.org/10.1016/j.jmsy.2011.08.005openalex-extracted
Software-based tool path evaluation for environmental sustainability
inferredcites →https://doi.org/10.1016/j.jmsy.2023.09.012openalex-extracted
An ensemble neural network for optimising a CNC milling process
inferredcites →https://doi.org/10.1080/00207543.2020.1756508openalex-extracted
Modelling and analysis for processing energy consumption of mechanism and data integrated machine tool
inferredcites →https://doi.org/10.1088/2051-672x/ac41feopenalex-extracted
Investigation of the effect of cutting parameters on the milling process of cryogenically treated aluminum alloy with cryogenically treated and untreated inserts, using the Taguchi and Gray Relational Analysis methods
inferredcites →https://doi.org/10.1115/1.4037427openalex-extracted
Energy Consumption of Feed Drive Systems Based on Workpiece Setting Position in Five-Axis Machining Center
inferredcites →https://doi.org/10.1146/annurev-environ-041112-110510openalex-extracted
A Global Assessment of Manufacturing: Economic Development, Energy Use, Carbon Emissions, and the Potential for Energy Efficiency and Materials Recycling
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.