scholarly journals FEA Modelling of the Combined Hard TurningRolling Process Used at Bearing Rings

2021 ◽  
Vol 343 ◽  
pp. 02004
Author(s):  
Gures Dogan ◽  
Ilhan Mehmet ◽  
Dragoş Florin Chitariu ◽  
Cătălin Gabriel Dumitraş ◽  
Vasile Ionuţ Crîşmaru

In general, the production of bearings is a very large series production, which is why in production the technological lines are designed to process a single size of bearings. Changing the production line for different types of bearings is expensive and time consuming, especially where grinding and honing processes are required. An alternative to these abrasive processes is hard turning. The literature indicates that due to highprecision machines, the accuracy of hard-turned parts is comparable to grinding processes. It is also indicated that the integrity of the surface and the topography of the surface together with the residual induced stresses are parameters of interest and that influence the performance of the bearings. So one method of increasing the durability of the bearings is to ensure a low roughness of the elements and high residual induced stresses. Deep rolling is considered as an alternative to honing and rectification processes. Rolling can induce higher surface stresses in the material compared to honing and grinding. The present paper proposes a combined cutting tool made of a hard turning head and a rolling cutting tool for machining bearing rings. A simulation of this combined process is performed with the help of the finite element and thus the internal stress field, the temperature fieldand the topography of the processed surface aredetermined.

2016 ◽  
Vol 862 ◽  
pp. 26-32 ◽  
Author(s):  
Michaela Samardžiová

There is a difference in machining by the cutting tool with defined geometry and undefined geometry. That is one of the reasons of implementation of hard turning into the machining process. In current manufacturing processes is hard turning many times used as a fine finish operation. It has many advantages – machining by single point cutting tool, high productivity, flexibility, ability to produce parts with complex shapes at one clamping. Very important is to solve machined surface quality. There is a possibility to use wiper geometry in hard turning process to achieve 3 – 4 times lower surface roughness values. Cutting parameters influence cutting process as well as cutting tool geometry. It is necessary to take into consideration cutting force components as well. Issue of the use of wiper geometry has been still insufficiently researched.


2017 ◽  
Vol 65 (4) ◽  
pp. 553-559 ◽  
Author(s):  
D. Rajeev ◽  
D. Dinakaran ◽  
S.C.E. Singh

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.


2020 ◽  
Vol 20 (4) ◽  
pp. 1274-1291
Author(s):  
Soumikh Roy ◽  
Ramanuj Kumar ◽  
Ashok Kumar Sahoo ◽  
Amlana Panda

2015 ◽  
Vol 766-767 ◽  
pp. 594-599 ◽  
Author(s):  
S. Girishankar ◽  
M. Omkumar

Hard Finish Turning has been Widely Acknowledged as an Excellent Alternative for the Traditional Grinding, Especially it Enables many Intricate Machining Profiles Possible, in a Single Machining Set-up. Cubic Boron Nitride (CBN) Inserts are Usually Used for Hard Turning of Superior Hardened Steel Parts to Very High Degree of Accuracy, Geometry and Surface Texture. the Performance of CBN is of Significant Importance for Hard Finish Turning, because of the High Single Cutting Edge Cost. an Array of Experiments are Conducted with Two Different Types of Low Content CBN Insert Grades, 1) Tin Coated Insert CB7015, 2) Non Coated Insert BN250 by Using a Tool Holder MTJNL2525M16 in a LT20 Classic ACE Turning Centre. the Surface Roughness is Inspected by SJ201P Surfinish Mitutoyo Profile Tester. the Parameters Determined during the Experiments are MRR, Ra, and Tool Life in Minutes, Number of Parts Machined. A Satisfactory Match has been Reached by Comparing Mathematical Model Tool Life Using Experimental Data from the General Taylor’s Tool Life Equation and Experimentally Measured Tool Life. the Cost Analysis is Carried out by Gilbert’s Approach Indicates that the Cost Incurred per Part Produced is Lesser in Tin Coated Insert. the Proposed Methodology can Help to Optimise the Hard Finish Turning Process for AISI M2 Die Steel, and Also in Evaluating the Performance of CBN Tin Coated Insert over Non-Coated Insert.


Author(s):  
Vahid Pourmostaghimi ◽  
Mohammad Zadshakoyan

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.


2015 ◽  
Vol 809-810 ◽  
pp. 195-200
Author(s):  
Constatin Rotariu ◽  
Sevasti Mitsi ◽  
Dragos Paraschiv ◽  
Octavian Lupescu ◽  
Sergiu Lungu ◽  
...  

In this paper we analyze the influence of cutting parameters on the surface quality, surface roughness respectively, processed by turning when heat treated bearing steel, also called hard turning, and processing by turning of bearing steel without heat treatment. We set parameters of the cutting regime influencing the achievement of roughness surfaces which must be within the predetermined requirements if bearing rings exceeding 500 mm in diameter. This analysis will be done by statistical methods using the software Minitab 14.


2006 ◽  
Vol 11 (5) ◽  
pp. 501-506 ◽  
Author(s):  
Xinfeng He ◽  
Su Wu ◽  
Kratz Hubert
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document