Design and Implement an Economical Automatic CNC Wood Lathe Machine

2021 ◽  
Author(s):  
Nancy Rastogi ◽  
Hardik Rastogi ◽  
Neelam Shrivastava
Keyword(s):  
Lathe Machine

Modeling and Analysis of Surface Roughness with Statistical and Soft Computing Approach

2021 ◽  
Vol 106 ◽  
pp. 109-115
Author(s):  
L.B. Abhang ◽  
M. Hameedullah
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Soft Computing ◽  
Prediction Models ◽  
Tool Geometry ◽  
Modeling And Analysis ◽  
Empirical Prediction ◽  
Lathe Machine ◽  
Carbide Inserts ◽  
Computing Approach

The objective of this study focuses on developing empirical prediction models using response regression analysis and fuzzy-logic. These models latter can be used to predict surface roughness according to technological variables. The values of surface roughness produced by these models are compared with experimental results. Experimental investigation has been carried out by using scientific composite factorial design on precision lathe machine with tungsten carbide inserts. Surface roughness measured at end of each experimental trial (three times), to get the effect of machining conditions and tool geometry on the surface finish values. Research showed that soft computing fuzzy logic model developed produces smaller error and has satisfactory results as compared to response regression model during machining.

Research on the Teaching Numerical Lathe Machine Based on Mach3

2013 ◽  
Vol 584 ◽  
pp. 231-235
Author(s):  
Ying Jie Wang ◽  
Wei Zhao ◽  
Zhi Ping Wang
Keyword(s):  
Cnc Turning ◽  
Visual Model ◽  
Cnc Lathe ◽  
Engineering Plastics ◽  
Lathe Machine

According to the demands of teaching, it is designed and manufactured that a new visual model of CNC turning lathe with assembles the horizontal bed and inclined bed in one. As it can display the structure of CNC lathe directly and intuitively, the model can be used for the teaching of CNC courses. The model has micro-switch, which can be used to control the movement of the workplace, and the automatic feed strokes of the tool, thus avoiding the collisions during manufacturing. Meanwhile, the test proved that it can cut the nylon, wood, engineering plastics and so on, so this model can satisfy the demands of teaching.

scholarly journals EMPIRICAL MODELING AND COMPARATIVE ANALYSIS OF LATHE MACHINE

2020 ◽  
Vol 5 (2) ◽  
pp. 435-438
Author(s):  
Manoj Modi ◽  
Veerendra Patil ◽  
Abhishek Sharma ◽  
Vitthal Sharma ◽  
Yash Joshi ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Empirical Modeling ◽  
Lathe Machine

Optimization of MRR and Surface Roughness of AlMg3 (AA5754) Alloy in CNC Lathe Machine by Using Taguchi Method

2018 ◽  
Vol 877 ◽  
pp. 110-117 ◽  
Author(s):  
Poornesh Kumar Chaturvedi ◽  
Harendra Kumar Narang ◽  
Atul Kumar Sahu
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Metal Removal ◽  
Removal Rate ◽  
Surface Condition ◽  
Point Of View ◽  
Depth Of Cut ◽  
Metal Removal Rate ◽  
Cnc Lathe ◽  
Lathe Machine

Quality of the product is the major concern in manufacturing industries from customers as well as producers point of view. There are number of factors in the product such as surface condition, height, weight, length, width etc., which may be consider for the measurement of the quality. Surface roughness and Metal Removal Rate (MRR) are the two main outcomes on which numerous researchers have applied different approaches for several years to get optimum results. In this study, Taguchi Method is applied for getting optimum parameters settings for Surface roughness and Metal Removal Rate (MRR) in case of turning AlMg3 (AA5754) in CNC Lathe machine, which is an aluminum alloy having diameter 20 mm and length 100 mm. The three parameters i.e. spindle speed, feed rate and depth of cut with 3 levels are taken as the process variables and the working ranges of these parameters for conducting experiments are selected based on Taguchi’s L9 Orthogonal Array (OA) design. To analyze the significant process parameters; main effect plots for data means and for S/N ratio are generated using Minitab statistical software.

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