Development of a Cutting Database System with Prediction and Analysis Functions

Cutting tool and machining parameters selection are central activity in process planning, which was traditionally performed by numerical control programmers or machine tool operators. The surface integrity has great effect on part quality and the sudden tool failure increases the machining costs greatly. The present paper details the development of a cutting database system with surface integrity prediction and tool failure analysis functions (CUT-P&A). The design and implement of this system has been presented. The system includes three main modules: cutting database, premature tool failure analysis and surface integrity prediction. The functions of this system include cutting tool selection and machining parameters recommendation, prediction of surface integrity and premature tool wear analysis. A case has been studied to explain the application of the system. The wide application of this system will be helpful for machining tool programmers, the improvement of machined part quality and the reduction of machine cost.

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Designing and implementation of a novel online adaptive control with optimization technique in hard turning

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651820952197 ◽

2020 ◽

pp. 095965182095219

Author(s):

Vahid Pourmostaghimi ◽

Mohammad Zadshakoyan

Keyword(s):

Adaptive Control ◽

Tool Wear ◽

Hard Turning ◽

Cutting Tool ◽

Optimization Technique ◽

Cutting Parameters ◽

Numerical Control ◽

Machining Process ◽

Machining Parameters ◽

Optimization Methodology

Determination of optimum cutting parameters is one of the most essential tasks in process planning of metal parts. However, to achieve the optimal machining performance, the cutting parameters have to be regulated in real time. Therefore, utilizing an intelligent-based control system, which can adjust the machining parameters in accordance with optimal criteria, is inevitable. This article presents an intelligent adaptive control with optimization methodology to optimize material removal rate and machining cost subjected to surface quality constraint in finish turning of hardened AISI D2 considering the real condition of the cutting tool. Wavelet packet transform of cutting tool vibration signals is applied to estimate tool wear. Artificial intelligence techniques (artificial neural networks, genetic programming and particle swarm optimization) are used for modeling of surface roughness and tool wear and optimization of machining process during hard turning. Confirmatory experiments indicated that the efficiency of the proposed adaptive control with optimization methodology is 25.6% higher compared to the traditional computer numerical control turning systems.

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The HSM Intelligent Database System Based on Neural Networks

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.201-203.162 ◽

2011 ◽

Vol 201-203 ◽

pp. 162-166

Author(s):

Li Juan Liu ◽

Ming Lv ◽

Wen Ge Wu

Keyword(s):

Neural Networks ◽

High Speed ◽

Cutting Parameters ◽

Database System ◽

Machining Parameters ◽

Relevant Research ◽

Selection Scheme ◽

High Speed Cutting ◽

Parameters Selection ◽

Choice Method

High speed cutting (HSM) is one of the main trends of cutting machinery. In our country, the relevant research of HSM starts later, the actual machining and experiment on the machining technology and the machining parameters of HSM are few, the reasonable machining parameters selection scheme and the appropriate cutter choice method are lack. The paper established the HSM cutters management system based on BP artificial neural networks to facilitate optimized database system and to improve cutting efficiency. The result shows the system is very helpful to select cutting parameters and the value of prediction fits with the test very well.

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Research on Intelligent Tool Selection System Based on Optimization Model

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.693.1765 ◽

2016 ◽

Vol 693 ◽

pp. 1765-1771

Author(s):

Rui Wang ◽

Wu Zhao ◽

Chun Jing Luo ◽

Zhi Yong Wang ◽

Tao Luo

Keyword(s):

Cutting Tool ◽

Intelligent System ◽

Cutting Tools ◽

Optimization Methods ◽

Database System ◽

Prototype System ◽

Tool Selection ◽

Cutting Parameter ◽

System A ◽

Machine Shops

Over the last few decades, the range of engineering materials encountered in machine shops has increased greatly, as has the variety of cutting tools that are capable of machining these materials. The tasks of tool selection and cutting parameter recommendation for performing the operations are complex and require development of intelligent system. A cutting tool database system model is proposed in this paper. And base on the model, this paper presents a cutting tool database system for selection of cutting tools and conditions of turning operations. The model incorporates intelligent tool selection technology, optimization methods of tool selection and cutting parameter. An application example of the system was performed to demonstrate the practicability and validity of the prototype system.

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Statistical Analysis of the Effect of the Cutting Tool Coating Type on Sustainable Machining Parameters

Journal of Materials Engineering and Performance ◽

10.1007/s11665-021-06066-8 ◽

2021 ◽

Vol 30 (10) ◽

pp. 7783-7795

Author(s):

Nursel Altan Özbek ◽

Onur Özbek ◽

Fuat Kara

Keyword(s):

Statistical Analysis ◽

Cutting Tool ◽

Machining Parameters ◽

Sustainable Machining ◽

Tool Coating ◽

Coating Type

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Numerical analysis of surface integrity in parallel turning PART B: Influence of cutting tool chamfer angle and chamfer width

Materials Today Proceedings ◽

10.1016/j.matpr.2020.09.464 ◽

2020 ◽

Author(s):

Faisal Hassan ◽

Veldi Kanakaraju ◽

Kalidasan Rathinam ◽

Gavendra Norkey

Keyword(s):

Numerical Analysis ◽

Surface Integrity ◽

Cutting Tool

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Applications of Software Engineering to Manufacturing Process Planning

Journal of Computing and Information Science in Engineering ◽

10.1115/1.2960488 ◽

2008 ◽

Vol 8 (3) ◽

Cited By ~ 2

Author(s):

V. Sundararajan ◽

Paul K. Wright

Keyword(s):

Software Development ◽

Process Planning ◽

Tool Path ◽

Numerical Control ◽

Planning System ◽

Cnc Milling ◽

Design Development ◽

Tool Selection ◽

Process Planning System ◽

New Algorithms

Agile methods of software development promote the use of flexible architectures that can be rapidly refactored and rebuilt as necessary for the project. In the mechanical engineering domain, software tends to be very complex and requires the integration of several modules that result from the efforts of large numbers of programmers over several years. Such software needs to be extensible, modular, and adaptable so that a variety of algorithms can be quickly tested and deployed. This paper presents an application of the unified process (UP) to the development of a research process planning system called CyberCut. UP is used to (1) analyze and critique early versions of CyberCut and (2) to guide current and future developments of the CyberCut system. CyberCut is an integrated process planning system that converts user designs to instructions for a computer numerical control (CNC) milling machine. The conversion process involves algorithms to perform tasks such as feature extraction, fixture planning, tool selection, and tool-path planning. The UP-driven approach to the development of CyberCut involves two phases. The inception phase outlines a clear but incomplete description of the user needs. The elaboration phase involves iterative design, development, and testing using short cycles. The software makes substantial use of design patterns to promote clean and well-defined separation between and within components to enable independent development and testing. The overall development of the software tool took about two months with five programmers. It was later possible to easily integrate or substitute new algorithms into the system so that programming resources were more productively used to develop new algorithms. The experience with UP shows that methodologies such as UP are important for engineering software development where research goals, technology, algorithms, and implementations show dramatic and frequent changes.

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Comparative Analysis between Conventional and Dry Turning

Solid State Phenomena ◽

10.4028/www.scientific.net/ssp.261.267 ◽

2017 ◽

Vol 261 ◽

pp. 267-274

Author(s):

Pantelis N. Botsaris ◽

Chaido Kyritsi ◽

Dimitris Iliadis

Keyword(s):

Experimental Data ◽

Surface Roughness ◽

Cutting Tool ◽

Spindle Motor ◽

Air Cooling ◽

Machining Parameters ◽

Turning Process ◽

Dry Cutting ◽

Cold Air ◽

Cooling And Lubrication

In this paper, there is an attempt to monitor and evaluate machining parameters when turning 34CrNiMo6 material under different cooling and lubrication conditions. The machining parameters concerned are temperature of the cutting tool and the workpiece, level of vibrations of the cutting tool, surface roughness of the workpiece, noise levels of the turning process and current drawn by the main spindle motor. Four different experimental machining scenarios were completed, specifically: conventional wet turning process, dry cutting and two additional modes employing cooling by cold air. Experimental data were acquired and recorded by an optimally designed network of sensors. Experimental data were statistically analyzed in order to reach conclusions. According to the research that has been done, although, overall, minimum cutting tool and workpiece temperatures were observed under wet machining, cold air cooling is capable of achieving comparable cooling results to wet machining. The lowest values of surface roughness were achieved by wet machining, whereas the lowest level of cutting tool vibrations were observed under cold air cooling.

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