Analytical design of disk-type milling cutter with multiple inserts and CNC milling simulation of screw rotors considering grinding stock

2022 ◽  
Vol 170 ◽  
pp. 104724
Author(s):  
Arifin Achmad ◽  
Yu-Ren Wu
Keyword(s):  
Cnc Milling ◽  
Milling Cutter ◽  
Analytical Design ◽  
Milling Simulation ◽  
Screw Rotors

CNC Milling Tool of Choice to Explore

2013 ◽  
Vol 706-708 ◽  
pp. 1246-1249
Author(s):  
Da Lin Zhang ◽  
Ji Lin Guo ◽  
Tian Rui Zhou
Keyword(s):  
Type Structure ◽  
Cnc Machining ◽  
Machining Efficiency ◽  
Processing Quality ◽  
Cnc Milling ◽  
Tool Selection ◽  
Milling Cutter ◽  
Milling Tool

The CNC tool selection is an important factor affecting the CNC machining efficiency and parts processing quality. In this paper, based on the analysis of the CNC milling cutter type, structure, diameter, angle, economy and other factors, a reasonable strategy to select the tool.

Milling Cutter Data Structures for Use in Force Models

2009 ◽  
Author(s):  
Cuneyt Yalcin ◽  
Robert B. Jerard ◽  
Barry K. Fussell
Keyword(s):  
Data Structure ◽  
Academic Research ◽  
Simulation Software ◽  
Trigonometric Functions ◽  
General Representation ◽  
Milling Cutter ◽  
Software Packages ◽  
Milling Simulation ◽  
Edge Segment ◽  
Force Calculation

In this study we present a new general representation for describing a milling cutter and an internal data structure that systematically stores the cutting edge segment properties of the milling cutter. The intention of this effort is to enable commercial milling simulation software packages to communicate and store complicated cutter information, and thus enable them to include improved models developed in academic research. Examples with various milling cutters are given, and the versatility of the structures is demonstrated by using two different cutting force models with three different milling cutters. Force calculation time was decreased by a factor of four by using the internal data structure to store pre-calculated trigonometric functions.

scholarly journals Optimization of milling process parameters and prediction of abrasive wear rate increment based on cutting force experiment

2021 ◽  
Vol 13 (8) ◽  
pp. 168781402110399
Author(s):  
Fei Li ◽  
Jun Liu
Keyword(s):  
Wear Rate ◽  
Abrasive Wear ◽  
Cutting Force ◽  
Process Parameters ◽  
Processing Time ◽  
Production Efficiency ◽  
Processing Parameters ◽  
Numerical Control ◽  
Cnc Milling ◽  
Milling Cutter

Tuning the parameters of Computerized Numerical Control (CNC) is essential for practical manufacturers. Well configured parameters ensure the efficiency of production and the accuracy of the products. However, with the abrasive wear on the flank of the milling cutter, the milling processing parameters should re-configure to adapt to the increment of the abrasive wear. This paper aims to propose a method to predict the abrasive wear rate increment on the flank of the milling cutter and optimize the processing parameters of CNC milling. Firstly, we set a cutting data acquisition system to sample the processing time and cutting force among X, Y coordinates based on the five-factor and four-level orthogonal experiments. Then, the sampled cutting force data increment is transformed into the abrasive wear rate increment by applying the incremental model. Next, five processing parameters for CNC milling are optimized by the gray relational method, which takes the limited abrasive wear rate increment of the flank face and the non-increasing processing time as the constrained conditions. We obtain the relationship between five processing parameters and abrasive wear rate increment. We also find the basic principle of selecting process parameters is to reduce the abrasive wear rate without increasing the processing time. The experimental results verify that the optimized process parameters make the gray relational degree increase by 0.02, and the abrasive wear rate increment decreases by 0.42432 × 10−10 mm3/s without affecting the production efficiency. In the prediction section, by applying the Back Propagation (BP) neural network, we obtain an accurate prediction model from measurable five factors to the abrasive wear increment on the flank of the milling cutter. The maximum error between the predicted value and the actual value is 0.0003, and the predicted value curve fits well with the actual value curve. From the perspective of abrasive wear rate increment prediction, it provides a new idea for online tool wear monitoring.

Metrological Estimates For Structural and Analytical Design of Complex Measurement Systems

2017 ◽  
Vol 11 (2) ◽  
pp. 62-70
Author(s):  
Y.P. Mucha ◽  
O.A. Avdeuk ◽  
I.Y. Koroleva ◽  
A.D. Korolev
Keyword(s):  
Analytical Design ◽  
Measurement Systems ◽  
Complex Measurement

ANALYSIS OF THE PRICE OF THE MANUFACTURE OF BATCH PARTS FOR CNC MILLING AUXILIATED BY CAD / CAM SYSTEMS

2018 ◽  
Author(s):  
ERIC RAMALHO FERREIRA DE CARVALHO ◽  
MARCOS VINICYUS OLIVEIRA ◽  
erijanio Silva ◽  
Gutembergy Diniz ◽  
João Dehon Rocha Junior ◽  
...  
Keyword(s):  
Cnc Milling ◽  
Cad Cam ◽  
Cam Systems
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