scholarly journals Turning Tool Wear Estimation Based on the Calculated Parameter Values of the Thermodynamic Subsystem of the Cutting System

Materials ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6492
Author(s):  
Victor Petrovich Lapshin
Keyword(s):  
Tool Wear ◽  
Software Package ◽  
Metal Cutting ◽  
Mathematical Software ◽  
Tool Wear Rate ◽  
Consistent Model ◽  
Calculated Parameter ◽  
Tool Wear Estimation ◽  
Parameter Values ◽  
Cutting System

Today, modern metalworking centers are not yet able to reliably assess the degree of wear of the tool used in metal cutting. Despite the fact that a large number of methods for monitoring the service life of the tool have been developed, this issue still remains a difficult task that needs to be solved. Idea: The article proposes a new, previously unused method for estimating the power of a cutting wedge in metalworking. The aim of the study is to develop a method for indirectly estimating the tool wear rate based on a consistent model of intersystem communication that describes the force, thermal and vibration reactions of the cutting process to the shaping movements of the tool. Research methods: The study consists of experiments on a measuring stand and a homemade measuring complex. It also uses the Matlab mathematical software package for processing and graphical interpretation of data obtained during experiments. The results show that the proposed method of estimating the current tool wear is applicable for the interpretation of experimental data. Statistically, the modified Voltaire operator of the second kind models the temperature more accurately; at the peak, this method is three times more accurate than the other.

Synergetic Concept of Software Control of Machining Processes on Metal-Cutting Machines

2021 ◽  
pp. 24-36
Author(s):  
V.L. Zakovorotny ◽  
V.E. Gvindzhiliya
Keyword(s):  
Tool Wear ◽  
Metal Cutting ◽  
Wear Testing ◽  
External Control ◽  
Machining Processes ◽  
Cutting Zone ◽  
Output Characteristics ◽  
The Cost ◽  
And Control ◽  
Cutting System

High precision metal-cutting machines ensure that the programmed machine actuator trajectories correspond to the real ones. For lathes these are the trajectories of the longitudinal and transverse calipers of the system, as well as the spindle. The purpose of processing is to produce parts of a given quality while minimizing the manufacturing costs. The condition of the dynamic cutting system, determined by the trajectories of forces and deformations, affects the quality indicators of parts and the cutting efficiency, which depends on the intensity of tool wear. The properties of the system change depending on the phase trajectory of the power of irreversible transformations of the energy supplied to the cutting zone by the work performed. Their changes related with the evolution of the parameters of the dynamic link formed by cutting are manifested in the development of tool wear and changes in the quality of the part. Thus, the power of irreversible energy transformations is one of the internal factors causing changes in the output characteristics of processing and the state of the process. In this regard, when processing on machine tools, there is a problem of synergistic coordination of external control (for example, the CNC program) with internal one, the source of which is the irreversible transformation of the energy supplied to the cutting zone. The article considers the problem of synergetic coordination of external and internal controls during cutting process, the solution of which will allow increasing the efficiency of processing on CNC machines. A mathematical model of a controlled dynamic cutting system and control algorithms are proposed to improve the efficiency of processing parts of a given quality while minimizing the intensity of tool wear. Testing of the developed algorithms has shown that their use reduces the cost of manufacturing parts by 1.2.

Influence of Cutting Dynamic on the Selection of the Technological Regimes to Ensure Minimal Wear of Cutting Tools

2020 ◽  
Vol 22 (4) ◽  
pp. 54-70
Author(s):  
Vilor Zakovorotny ◽  
◽  
Valery Gvindjiliya ◽  
Keyword(s):  
Wear Resistance ◽  
Wear Rate ◽  
Tool Wear ◽  
Dynamic System ◽  
Heat Production ◽  
Dynamic Properties ◽  
Cutting Process ◽  
Tool Wear Rate ◽  
Cutting Path ◽  
Cutting System

Introduction. The intensity of tool wear, as an increment of wear to the cutting path, characterizes one of the important processing indicators. It is used in the development of algorithms for controlling the cutting process, including the calculation of trajectories in CNC machines. As the cutting speed increases, there is a value at which the wear rate is minimal. It corresponds to the optimal value of heat production in the cutting zone, that is, the power of irreversible transformations of the energy supplied to cutting. Heat production depends on the dynamic system parameters that change along the tool path. In this regard, at the initial stage and during processing, it is necessary to coordinate the control with the properties of the dynamic cutting system. Subject. The paper offers a study and analysis of the relationship between the tool wear rate and the dynamic properties of the cutting process, and on this basis, the definition of technological modes in which the wear rate is minimal. The purpose of this work is to study the dependence of the tool wear rate on the initial and changing dynamic properties of processing along the path, and to create on this basis methods for matching technological modes with the current cutting dynamics to reduce the wear rate. Method and methodology of the work. In this paper, experimental and analytical methods are used to study the evolutionary changes in the properties of the system in relation to the development of tool wear. The developed mathematical models of the cutting system are presented, which differ from the known ones in that the power of irreversible energy transformations of the mechanical system in the interface of the back faces of the tool with the workpiece is additionally modeled. The dependence of the wear rate on the power of irreversible transformations, that is, on a given time interval in the increment of wear, is given. This takes into account the dependence of wear on the dynamic properties of the cutting system, including during its evolution. Results and discussions. It is shown that the properties of evolution are sensitive to small variations in the parameters of the dynamical system. These variations make significant changes in the wear rate. The paper reveals the dependence of wear on the properties of a dynamic system, that is, on its parameters, technological modes, beats, and other perturbations. Conclusions. The disclosure of the dependence of wear resistance on the dynamic properties of the cutting process characterizes new ideas about the factors that affect wear resistance.

Metaheuristics in Manufacturing

2018 ◽  
pp. 118-142 ◽  
Author(s):  
Mohammad Zadshakoyan ◽  
Vahid Pourmostaghimi
Keyword(s):  
Tool Wear ◽  
Metal Cutting ◽  
Cutting Speed ◽  
Cutting Process ◽  
Machining Process ◽  
Turning Process ◽  
Effective Parameters ◽  
Crater Wear ◽  
Tool Wear Estimation ◽  
Industry Automation

The state of a cutting tool is an important factor in any metal cutting process as additional costs in terms of scrapped components, machine tool breakage and unscheduled downtime result from worn tool usage. Therefore, tool wear prediction plays an important role in industry automation for higher productivity and acceptable product quality. Therefore, in order to increase the productivity of turning process, various researches have been made recently for tool wear estimation and classification in turning process. Chip form is one of the most important factors commonly considered in evaluating the performance of machining process. On account of the effect of the progressive tool wear on the shape and geometrical features of produced chip, it is possible to predict some measurable machining outputs such as crater wear. According to experimentally performed researches, cutting speed and cutting time are two extremely effective parameters which contribute to the development of the crater wear on the tool rake face. As a result, these parameters will change the chip radius and geometry. This chapter presents the development of the genetic equation for the tool wear using occurred changes in chip radius in turning process. The development of the equation combines different methods and technologies like evolutionary methods, manufacturing technology, measuring and control technology with the adequate hardware and software support. The results obtained from genetic equation and experiments showed that obtained genetic equations are correlated well with the experimental data. Furthermore, it can be used for tool wear estimation during cutting process and because of its parametric form, genetic equation enables us to analyze the effect of input parameters on the crater wear parameters.

scholarly journals Artificial neural network based tool wear estimation on dry hard turning processes of AISI4140 steel using coated carbide tool

2017 ◽  
Vol 65 (4) ◽  
pp. 553-559 ◽  
Author(s):  
D. Rajeev ◽  
D. Dinakaran ◽  
S.C.E. Singh
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Tool Wear ◽  
Hard Turning ◽  
Cutting Tool ◽  
Carbide Tool ◽  
Online Tool ◽  
Coated Carbide Tool ◽  
Tool Wear Estimation ◽  
Coated Carbide

AbstractNowadays, finishing operation in hardened steel parts which have wide industrial applications is done by hard turning. Cubic boron nitride (CBN) inserts, which are expensive, are used for hard turning. The cheaper coated carbide tool is seen as a substitute for CBN inserts in the hardness range (45–55 HRC). However, tool wear in a coated carbide tool during hard turning is a significant factor that influences the tolerance of machined surface. An online tool wear estimation system is essential for maintaining the surface quality and minimizing the manufacturing cost. In this investigation, the cutting tool wear estimation using artificial neural network (ANN) is proposed. AISI4140 steel hardened to 47 HRC is used as a work piece and a coated carbide tool is the cutting tool. Experimentation is based on full factorial design (FFD) as per design of experiments. The variations in cutting forces and vibrations are measured during the experimentation. Based on the process parameters and measured parameters an ANN-based tool wear estimator is developed. The wear outputs from the ANN model are then tested. It was observed that as the model using ANN provided quite satisfactory results, and that it can be used for online tool wear estimation.

Investigations of Tool Wear with Water Vapor as Coolant and Lubricant in Green Cutting

2011 ◽  
Vol 317-319 ◽  
pp. 556-559
Author(s):  
Yue Zhang ◽  
Tong Jiang ◽  
Li Han ◽  
Qi Dong Li ◽  
Tai Li Sun ◽  
...  
Keyword(s):  
Water Vapor ◽  
Tool Wear ◽  
Metal Cutting ◽  
Boundary Layer Theory ◽  
Cutting Fluids ◽  
Potential Solution ◽  
Dry Cutting ◽  
Lubricating Film ◽  
Study Results ◽  
Generating System

Green cutting is one of the developing tends in the industry field. Water vapor can be introduced in metal cutting as coolant and lubricant due to its pollution-free, generating easily and unneeded disposal. Therefore, a special generating system is developed to produce suitable water vapor, and a simulation to the velocity of water vapor jet flow is presented. Then tool wear was investigated and a new capillary model is proposed, based on the experimental results. According to the boundary-layer theory, the kinetics equations of flow were solute. The velocity and flux of molecule are presented. In the capillary, the adsorption of tool-chip interface results in boundary lubricating film; the conical shape of capillary limits the depth of coolant and lubricant penetrating; and the negative press is the motility for coolant and lubricant penetrating. The study results show water vapor can decrease tool wear about 10% times and 20% comparing to cutting fluids and dry cutting, and water vapor could be a potential solution of green cutting.

CHARACTERIZATION OF ZrB2-SiC COMPOSITES WITH AN ANALYTICAL STUDY ON MATERIAL REMOVAL RATE AND TOOL WEAR RATE DURING ELECTRICAL DISCHARGE MACHINING

2016 ◽  
Vol 40 (3) ◽  
pp. 331-349 ◽  
Author(s):  
S. Sivasankar ◽  
R. Jeyapaul
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Relative Density ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Tool Wear Rate ◽  
Tool Materials

This research work concentrates on Electrical Discharge Machining (EDM) performance evaluation of ZrB2- SiC ceramic matrix composites with different tool materials at various machining parameters. Monolithic ZrB2 possesses lower relative density (98.72%) than composites. ZrB2 with 20 Vol.% of SiC possesses 99.74% of the relative density with improved hardness values. Bend strength and Young’s modulus increase with SiC addition until it reaches 20 Vol% and then decreasing. EDM performance on tool materials of tungsten, niobium, tantalum, graphite and titanium at various levels of pulse on time and pulse off time are analyzed. Graphite produces the best Material removal rate (MRR) for all the workpieces. Tool wear rate decreases with melting point and thermal conductivity of the tool material.

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