scholarly journals Optimisation of the aggregation and execution rates for intersecting operation sets: an example of machining process design

2019 ◽  
Vol 58 (9) ◽  
pp. 2658-2676 ◽  
Author(s):  
Alexandre Dolgui ◽  
Genrikh Levin ◽  
Boris Rozin
2014 ◽  
Vol 800-801 ◽  
pp. 203-207
Author(s):  
Zhen Bo Wang ◽  
Liang Zhang ◽  
Shu Zhi Li

This article mainly aims at the problem of silicon carbide ceramic mechanical turning difficult processing,by adopting the method of the numerical control turning processing.Design a special fixtures and a NC machining process to accomplish the manufacture of silicon carbide plate.And through the single factor analysis method to process parameters were analyzed.


2011 ◽  
Vol 121-126 ◽  
pp. 1058-1062
Author(s):  
Neng Wan ◽  
Yang Yang

In order to change the incompleteness of data link, tediousness of data conversion and unclearness of process expression in the traditional two-dimensional machining process design, this paper researches on a new model of MBD-based one. The author proposes the 3Dprocess model as the carrier to manufacture information, and establishes closed loop architecture composed of 3D machining process design, 3D process management and feedback of field application of 3Dmachining process. The author then analyzes the composition elements of machining process model under the condition of MBD, proposes the establishment of machining process ontology and geometric modeling ontology, and achieves the conversion between these two. This paper researches on the composition of MBD machining process card, establishes the mapping relation between process expression elements and process card elements in the 3Dmachining process model, and ultimately realizes the machining process design in the 3Denvironment.


2014 ◽  
Vol 493 ◽  
pp. 576-582
Author(s):  
Hendri D.S. Budiono ◽  
Mochammad Sholeh ◽  
Gandjar Kiswanto ◽  
Tresna P. Soemardi

It is a phenomenon that an experience mechanical/ design engineer with years of experience in mechanical parts design, still must to improve the knowledge about process design. This phenomenon will be different with other fields but common in process design because design is continuous process. The automotive industry is expected to be one of the driving factors for economic growth in Indonesia in 2025. It is shown by research firm (Frost & Sullivan) that estimates this year's car sales in Indonesia will rise moderately by 6.5% from a year earlier to 948,500 units and the real car sales in Indonesia rose to 43% in April 2012. Development should be increased because the government provides to industrial facilities that conduct research, development and innovation. Therefore the design process until production is expected to be rapid and immediate product can be enjoyed by society. To speed up the production process, the design process should be faster, and account how the next process that is the production. This research useds the form of the usual features carried with three machining processes are widely used in the world of mechanical component industries. The processes are turning (around 24.9% of machining process), milling (around 20.2% of machining process) and drilling (around 28.2% of machining process). The overall mean of the three processes around 73.3% of the portion of the machining process (survey conducted by PERA).


2012 ◽  
Vol 523-524 ◽  
pp. 392-397
Author(s):  
Yoshihiko Yamada ◽  
Toshiyuki Okita ◽  
Yoshimasa Kuwano

In recent years, due to intensified global competitiveness in die machining, further reduction of lead time, lower costs and higher accuracy are in demand. 5-axis machining is receiving attention as a means to solving these issues. However, differing to the conventional 3-axis machining, complex thinking tasks such as determining tool orientation while considering interference are required in the process design phase prior to machining, which not only places pressure on even those experienced workers, but also consumes a significantly longer amount of time than that required for the actual machining itself. Accordingly, with the aim of shortening the overall lead time from machining process design through to machining itself, we have developed a support system which makes highly efficient indexing 5-axis machining process design possible in a short time even for inexperienced workers. This report presents the algorithms contrived and calculation test results.


2010 ◽  
Vol 97-101 ◽  
pp. 2377-2380
Author(s):  
Yong Ming Wu ◽  
Zhou Hui Yang

Quality Function Deployment for Environment (QFDE) is an effective eco-design tool to transform the voices of customer and environment into the engineering metrics for evaluating product design. From the viewpoint of green manufacturing, machining process design is focused on by many manufacturers and it is necessary to evaluate its environmental impact. The QFDE method is developed to evaluate machining process design with the new house of quality. According to the evaluation, design engineers can identify which part characteristics and their machining processes should be focused on and then know how to improve the product design. A case of an engine is studied to illustrate the proposed method.


1988 ◽  
Author(s):  
J. W. Sutherland ◽  
R. E. DeVor ◽  
S. G. Kapoor ◽  
P. M. Ferreira

2012 ◽  
Vol 271-272 ◽  
pp. 1006-1011
Author(s):  
Neng Wan ◽  
Zhi Yong Chang

To tackle process knowledge discovery difficulty in machining process, this paper studies knowledge discovery method of 2.5–dimensional machining characteristics based on process model with model based definition technology, and finds out machining process design knowledge with the natural structured process description ability of MBD process model. Firstly, the composition of machining geometry ontology and process ontology is analyzed. Secondly, decision tree between ontology are obtained by analyzing abundant samples of MBD process model. Thus, the process and method of reasoning from geometry ontology to process ontology is achieved. Finally, the validity of process knowledge discovery method is exemplified with a group of MBD process models.


2015 ◽  
Vol 651-653 ◽  
pp. 732-737
Author(s):  
Philipp Steuer ◽  
Andreas Rebschläger ◽  
Alexander Ernst ◽  
Dirk Bähre

The Pulse Electrochemical Machining Process is an innovative, non-conventional process, based on the Electrochemical Machining process. Herein, pulsed current instead of constant current and a feed overlaid mechanical vibration of the tool electrode allows a higher precision and copying accuracy in contrast to the well-established ECM process. Yet, in this context the pulse-pause time and the length of the pulse on-time used in the process cause changes in the material removal while processing and therefore influences the processing result as well as cycle times and other industry relevant criteria. Understanding these pulse- and process specific changes is a key to the process design for industrial applications, since different sets and variations in parameters also change the final form and surface topography. This contribution shows, at the example of two materials 1.4301 and electrolytic copper, how a machining process can be designed and calculated based on material specific data. The way to acquire the necessary material data sets using industrial equipment, as well as the use and information which can be drawn from the data will be addressed.


2014 ◽  
Vol 926-930 ◽  
pp. 1214-1217
Author(s):  
Bo Tang

the numerical control milling process design is on the basis of ordinary milling process design, combining with the characteristics of CNC milling machine, give full play to its advantages. CNC milling process design is the key to reasonable arrangement of process route, to coordinate the relationship between the CNC milling process and other process, determine the content and steps of NC milling process make the necessary preparations for programming. NC milling machining process analysis is related to the effectiveness and success or failure, is one of the important preparations before programming. This article will mainly for NC milling machining precision and machining error analysis and research.


2017 ◽  
Vol 10 (1) ◽  
pp. 347-354
Author(s):  
Zhu Xiurong ◽  
Zhang Xin ◽  
Liu Yang ◽  
Sun Zhijie

Sign in / Sign up

Export Citation Format

Share Document