‘Flexible’ wheel reduces chatter in CBN grinding operations

1982 ◽  
Vol 61 (7-8) ◽  
pp. 6
Keyword(s):  
Grinding Operations

Evaluating the influence of grinding mode on part’s accuracy and grinding wheel’s wear in grinding profile for ball bearing's inner ring groove

2018 ◽  
Vol 56 (4) ◽  
pp. 531
Author(s):  
Nguyen Anh Tuan ◽  
Vu Toan Thang ◽  
Nguyen Viet Tiep
Keyword(s):  
Theoretical Analysis ◽  
Current Issue ◽  
Grinding Wheel ◽  
Machining Accuracy ◽  
Ring Groove ◽  
Production Practice ◽  
Wear Of Grinding Wheel ◽  
Output Factors ◽  
Grinding Operations ◽  
Technological Mode

Determining the influence of technological mode factors on machining accuracy is always an current issue in the production practice especially for grinding operations. This paper presents some research results to determine the effect of grinding parameters on grinding wheel’s wear and part’s accuracy in grinding profile for ball bearing's inner ring groove. From theoretical analysis and experimental results, the article assesses the influence of grinding mode factors on output factors. Based on that, the economic limitation wear of grinding wheel at three different grinding modes is determined.

Optimal Tool Design for Grinding Operations

2018 ◽  
Vol 38 (7) ◽  
pp. 557-562
Author(s):  
V. I. Kurdyukov
Keyword(s):  
Tool Design ◽  
Grinding Operations

A Computer Program Design for Optimization of a Cylindrical Traverse Grinding Operations

2009 ◽  
Vol 147-149 ◽  
pp. 387-392
Author(s):  
Andrejus Henrikas Marcinkevičius
Keyword(s):  
Computer Program ◽  
Program Design ◽  
Task Complexity ◽  
Process Plan ◽  
Cylindrical Grinding ◽  
Grinding Operations ◽  
Manual Calculation ◽  
Traverse Grinding

Traverse cylindrical grinding productivity and accuracy depend on many factors of rough, fine and spark out grinding. Evaluation of all these factors at manual calculation of the process plan is impossible, for that reason the engineer technologist selects the cutting rates approximately, and they are far from optimal. We have deduced equations for calculation of optimal cutting rates for that purpose. Because of task complexity the computer program was designed for calculations which is described in this paper.

Methodology for Evaluation of Treated Steels and Alloys in Abrasive Processing

2021 ◽  
Vol 410 ◽  
pp. 262-268
Author(s):  
Vyacheslav M. Shumyacher ◽  
Sergey A. Kryukov ◽  
Natal'ya V. Baidakova
Keyword(s):  
Physical And Mechanical Properties ◽  
Metals And Alloys ◽  
Grinding Wheel ◽  
Measuring Instruments ◽  
Abrasive Machining ◽  
Machining Performance ◽  
Abrasive Grains ◽  
Abrasive Tools ◽  
Composition Structure ◽  
Grinding Operations

One of the critical physical and mechanical properties of metals and alloys is the suitability for abrasive machining. Machining by abrasive tools is the final operation that sets the desired macro-geometry parameters of processed blanks and microgeometry parameters of processed surfaces such as roughness and length of a bearing surface. Abrasive machining determines the most important physical and mechanical parameters of a blank surface layer, i.e. stresses, phase composition, structure. Machinability by abrasive tools depends on the machining performance affected both by the blank material properties and various processing factors. In our previous studies, we proved that during abrasive machining the metal microvolume affected by abrasive grains accumulates energy. This energy is used for metal dispersion and is converted into heat. According to the theoretical studies described herein, one may note the absence of a reliable and scientifically valid method as well as measuring instruments to determine the machinability of metals and alloys by abrasive tools. For this reason, we suggested a method simulating the effect the multiple abrasive grains produce in a grinding wheel, and enabling us to identify machinability of metals and alloys, select the most efficient abrasive materials for machining of the same, and form the basis for development of effective grinding operations.

Comparison of PSO, AGA, SA and Memetic Algorithms for Surface Grinding Optimization

2016 ◽  
Vol 852 ◽  
pp. 241-247 ◽  
Author(s):  
K. Babu
Keyword(s):  
Memetic Algorithm ◽  
Optimization Methods ◽  
Memetic Algorithms ◽  
Global Market ◽  
Optimization Techniques ◽  
Surface Grinding ◽  
Adaptive Genetic Algorithm ◽  
Machining Processes ◽  
Grinding Operations ◽  
Machining Optimization

In striving to remain competitive in the global market, the concept of optimization of manufacturing processes has been extensively employed to meet the diverse production requirements. Optimization analysis of machining processes is usually based on either minimizing or maximizing certain objective functions. Recently, various non-traditional optimization techniques have evolved to optimize the process parameters of machining processes. The objective of this work is to study the effectiveness of the most commonly used non-traditional optimization methods as applied to a particular machining optimization problem. In this work, surface grinding processes are optimized using i) Particle Swarm Optimization (PSO) ii) Adaptive Genetic Algorithm (AGA) iii) Simulated Annealing (SA) and iv) Memetic algorithm (MA). Memetic algorithm used here has two variations as MA-1 and MA-2, each having the combination of PSO and SA and AGA and SA respectively. The mathematical model of surface grinding operations was adopted from a literature. A computer program was written in Visual C++ for the optimization computations. The computation results of various optimization methods are compared and it is observed that the results of PSO method have outperformed the results of other methods in terms of the combined objective function (COF).

Machining

2013 ◽  
pp. 213-270
Keyword(s):  
Electron Beam ◽  
Tool Wear ◽  
Electrical Discharge ◽  
Cutting Fluids ◽  
Machining Parameters ◽  
Machining Processes ◽  
Wire Cutting ◽  
Grinding Operations ◽  
Conventional Machining

Abstract This chapter covers the practical aspects of machining, particularly for turning, milling, drilling, and grinding operations. It begins with a discussion on machinability and its impact on quality and cost. It then describes the dimensional and surface finish tolerances that can be achieved through conventional machining methods, the mechanics of chip formation, the factors that affect tool wear, the selection and use of cutting fluids, and the determination of machining parameters based on force and power requirements. It also includes information on nontraditional machining processes such as electrical discharge, abrasive jet, and hydrodynamic machining, laser and electron beam machining, ultrasonic impact grinding, and electrical discharge wire cutting.

scholarly journals Performance Evaluation of MQL Parameters Using Al2O3 and MoS2 Nanofluids in Hard Turning 90CrSi Steel

Lubricants ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 40 ◽  
Author(s):  
Tran Minh Duc ◽  
Tran The Long ◽  
Tran Quyet Chien
Keyword(s):  
Hard Turning ◽  
Cutting Performance ◽  
Hard Machining ◽  
High Productivity ◽  
Good Surface ◽  
Complex Part ◽  
Cutting Zone ◽  
Grinding Operations ◽  
Coated Carbide ◽  
Carbide Inserts

Hard machining has gained much attention to be an alternative solution for many traditional finish grinding operations due to high productivity, ease to adapt to complex part contours, the elimination of cutting fluids, good surface quality, and the reduction of machine tool investment. However, the enormous amount of heat generated from the cutting zone always requires the high-grade inserts and limits the cutting conditions. The MQL technique with nanofluids assisted for hard machining helps to improve the cutting performance while ensuring environmentally friendly characteristics. This paper focuses on the development of MQL technique by adding Al2O3 and MoS2 nanoparticles to the base fluids (soybean oil and water-based emulsion) for the hard turning of 90CrSi steel (60÷62 HRC). The analysis of variance (ANOVA) is used to evaluate the performance of MQL parameters in terms of cutting forces and surface roughness. The study reveals that a better performance of coated carbide inserts is observed by using MQL with Al2O3 and MoS2 nanofluids. In addition, the fluid type, nanoparticles and nanoparticle concentration have a strong effect on cutting performance. The interaction influence among the investigated variables is also studied in order to provide the technical guides for further studies using Al2O3 and MoS2 nanofluids.

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