Energy efficient cutting parameter optimization
نویسندگان
چکیده
Abstract Mechanical manufacturing industry consumes substantial energy with low efficiency. Increasing pressures from price and environmental directive force mechanical industries to implement efficient technologies for reducing consumption improving efficiency of their machining processes. In a practical process, cutting parameters are vital variables set by manufacturers in accordance requirements workpiece condition. Proper selection consideration can effectively reduce improve the process. Over past 10 years, many researchers have been engaged parameter optimization, large amount literature published. This paper conducts comprehensive review current studies on optimization fully understand recent advances this research area. The characteristics process analyzed decomposing total into electrical machine tool embodied fluid. Current using experimental design method models reviewed manner. Combined status, future directions presented.
منابع مشابه
Cutting Parameter Optimization Based on Experience and Rules
To reduce cutting time and costs, an optimization model of cutting parameter is proposed. Constraints like lathe and cutting tool are fully considered. The objective function is aiming at the target of profit margins. Some empirical indexes are used in the constraints and the objective function since the special properties of cutting process. The Fuzzy Comprehensive Evaluation Method is used to...
متن کاملEfficient Combination of Topology and Parameter Optimization
This paper presents a combination method of Particle Swarm Optimization (PSO) and topology optimization. With this method a better result can be achieved compared with the sequential application of these two optimization methods. It inherits the ability in finding global optimum from PSO and also suits for discretized design domain. Some special schemes are used in order to provide higher compu...
متن کاملEfficient Hyper-parameter Optimization for NLP Applications
Hyper-parameter optimization is an important problem in natural language processing (NLP) and machine learning. Recently, a group of studies has focused on using sequential Bayesian Optimization to solve this problem, which aims to reduce the number of iterations and trials required during the optimization process. In this paper, we explore this problem from a different angle, and propose a mul...
متن کاملAn Efficient Ant Colony Optimization for Real Parameter Optimization
This paper presents an ant colony optimization based algorithm to solve real parameter optimization problems. In the proposed method, an operation similar to the crossover of the genetic algorithm is introduced into the ant colony optimization. The crossover operation with Laplace distribution following a few promising descent directions (FPDD-LX) is proposed to be performed on the pheromone of...
متن کاملeconomic optimization and energy consumption in tray dryers
دراین پروژه به بررسی مدل سازی خشک کردن مواد غذایی با استفاده از هوای خشک در خشک کن آزمایشگاهی نوع سینی دار پرداخته شده است. برای آنالیز انتقال رطوبت در طی خشک شدن به طریق جابجایی، یک مدل لایه نازک برای انتقال رطوبت، مبتنی بر معادله نفوذ فیک در نظر گفته شده است که شامل انتقال همزمان جرم و انرژی بین فاز جامد و گاز می باشد. پروفایل دما و رطوبت برای سه نوع ماده غذایی شامل سیب زمینی، سیب و موز در طی...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers of Mechanical Engineering
سال: 2021
ISSN: ['2095-0241', '2095-0233']
DOI: https://doi.org/10.1007/s11465-020-0627-x