scholarly journals Machine Tool Assignment Realized by Automated NC Program Generation and Machining Time Prediction

2019 ◽  
Vol 13 (5) ◽  
pp. 700-707
Author(s):  
Isamu Nishida ◽  
◽  
Keiichi Shirase
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Input Data ◽  
Numerical Control ◽  
Machining Time ◽  
3D Cad ◽  
Machining Conditions ◽  
Nc Program ◽  
Cad Models ◽  
Case Data

The present study proposed a method to automatically generate a numerical control (NC) program by referring to machining case data for each machine tool with only 3D-CAD models of a product and workpiece as the input data, and to select machine tools for machining the target removal region among several machine tools with different characteristics. The special features of the proposed method are described as follows. The removal volume can be automatically obtained from the total removal volume (TRV), which is extracted from the workpiece and product using a Boolean operation by dividing it on the XY plane. The removal region changed according to the determined machining sequence. The conditions for machining the removal region is automatically determined according to the machining case data, which is stored by linking the geometric properties of the removal region with the machining conditions determined by experienced operators. Furthermore, an NC program is automatically generated based on the machining conditions. The machine tools for machining the target region are selected according to the predicted machining time of each machine tool connected by a network. A case study was conducted to validate the effectiveness of the proposed system. The results confirm that machining can be conducted using only 3D-CAD models as input data. It was suggested that the makespan would be shortened by changing the machining sequence from the optimized machining sequence when machining a plurality of products.

scholarly journals Research and development of monitoring system and data monitoring system and data acquisition of CNC machine tool in intelligent manufacturing

2020 ◽  
Vol 17 (2) ◽  
pp. 172988141989801
Author(s):  
Yuan Guo ◽  
Yu Sun ◽  
Kai Wu
Keyword(s):  
Machine Tool ◽  
Data Acquisition ◽  
Monitoring System ◽  
Machine Tools ◽  
Intelligent Manufacturing ◽  
Cnc Machining ◽  
Numerical Control ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Nc Program

Intelligent manufacturing as the development direction of the new generation manufacturing system has become a hot research topic. Computer numerical control (CNC) machine tools are the core manufacturing equipment in discrete manufacturing enterprises, collecting and monitoring the data is an important part of intelligent manufacturing workshops. It has a great significance to improve the production efficiency of enterprises and eliminate information islands. The purpose of this article is to solve the problems of data acquisition and monitoring of CNC machine tools in the manufacturing workshop of enterprises. This article uses FOCAS data acquisition method to research and develop the data acquisition and monitoring system of CNC machine tools in intelligent manufacturing workshop. The research results show that the equipment information model based on MTConnect protocol and FOCAS can solve the data acquisition and storage functions of CNC machine tools well. Using the object-oriented Petri net model, it can solve various uncertain factors in numerical control (NC) machining tasks and realize the monitoring function of CNC machining tasks in the workshop. Based on the NC program analysis, the calculation method of machining time in the NC program can determine the preventive maintenance cycle of the machine based on the machine fault information. Based on VS2013 development environment, Qt application framework and SQL Server 2012 database, the numerical control machine tool data acquisition and monitoring prototype system was developed, and the system was verified in the workshop to prove the effectiveness of the system.

Detektion von Bauteilfehlern aus Maschinendaten/Detection of workpiece flaws out of machine tool data – possibilities and limits

2019 ◽  
Vol 109 (11-12) ◽  
pp. 828-832
Author(s):  
M. Weigold ◽  
A. Fertig ◽  
C. Bauerdick
Keyword(s):  
Quality Assurance ◽  
Machine Tool ◽  
Machine Tools ◽  
Machining Time ◽  
Parallel Detection ◽  
High Data ◽  
Novel Approach ◽  
Data Rates ◽  
High Data Rates

Durch zunehmende Vernetzung und Digitalisierung von Werkzeugmaschinen und Automatisierungskomponenten ergibt sich die Möglichkeit, Signale mit hohen Datenraten und großer Vielfalt aufzuzeichnen. Der vorliegende Beitrag beschreibt erste Untersuchungen zur Realisierbarkeit einer prozessparallelen Detektion von Bauteilfehlern auf Basis interner Werkzeugmaschinendaten. Dabei werden Potenziale und Grenzen für diesen neuartigen Ansatz zur hauptzeitparallelen Qualitätssicherung aufgezeigt.   The increasing networking and digitization of machine tools and automation components provides the opportunity to record signals with high data rates and great diversity. This paper describes first investigations on the feasibility of a process-parallel detection of component defects on the basis of internal machine tool data. Potentials and limits for this novel approach to quality assurance parallel to machining time are presented.

Optimization of Control Gains in Numerical Control

2016 ◽  
Vol 1136 ◽  
pp. 651-654
Author(s):  
Hideki Aoyama ◽  
Duo Zhang
Keyword(s):  
Feed Rate ◽  
Machine Tools ◽  
Cutting Tool ◽  
Numerical Control ◽  
Machining Processes ◽  
Nc Program ◽  
Acceleration And Deceleration

It is frequently the case that the feed rate indicated in a numerical control (NC) program does not obtain in actual machining processes and the cutting tool does not path the points indicated in the NC. A reason underlying such problems is that control gains are not optimized, which causes issues with acceleration and deceleration in the control of machine tools. To address these problems, in this paper, we propose a method for the optimization of control gains using the MATLAB and Simulink software by considering the weight of the workpiece, the controlling distance, and the controlling speed. Simulations confirmed the effectiveness of our proposed optimization.

scholarly journals Assessment of the safety of use of portable machine tools

2018 ◽  
Vol 189 (3) ◽  
pp. 192-205
Author(s):  
Monika Nowak ◽  
Agnieszka Terelak-Tymczyna
Keyword(s):  
Machine Tool ◽  
Working Conditions ◽  
Machine Tools ◽  
Numerical Control ◽  
Milling Machine ◽  
Safety Issues ◽  
Large Size ◽  
Score Method ◽  
Characteristic Features ◽  
Risk Reducing

The article presents safety issues related to on-site machining with the use of portable machine tools. Their advantage is the possibility of machining elements at places in which they are used. This especially refers to large-size constructions, welded elements and any items whose disassembly is technically difficult. The authors present tasks performed by the operators of portable machining equipment, working conditions, construction and characteristic features of portable machine tools on the example of a portable boring machine, milling machine and flange facing machine. The presented characteristics can influence the safety of work with these machines. The information given in the article were used to asses risk at the position of a portable machine tool operator. The assessment was conducted using the Risk Score method taking into account four stages of using portable machine tools, i.e. transport, assembly/disassembly, machining and maintenance. The result of the conducted risk analysis is the proposal of possible risk reducing actions. Due to the specificity of the operation of portable machine tools which significantly impedes the development of a machine tool which would be safe in and of itself, the proposed actions refer mainly to organisational solutions. The work presents also the thesis that it is possible to decrease the risk at this position thanks to the use of numerical control in a portable machine tool. Such a solution may reduce exposure to some identified threats. The issue is presented on the example of a prototype of a portable flange facing machine developed in the Institute of Mechanical Technology ZUT in Szczecin.

A Digital Twin of Multi-Axis Machine Tool for Micro Process Planning

2020 ◽  
Author(s):  
Fumiki Tanaka
Keyword(s):  
Machine Tool ◽  
Process Planning ◽  
Machine Tools ◽  
High Performance ◽  
Production Systems ◽  
Planning System ◽  
Digital Twin ◽  
Virtual Machining ◽  
Process Planning System ◽  
Case Data

Abstract Achieving high performance of machining production systems requires the use of multi-axis machine tools. In order to maximize the performance of multi-axis machine tools, micro process planning for creating machining data is important. Many researches on micro process planning mainly focused on 3-axis machining. As promising approaches among them, a micro process planning system was proposed that reuses actual machining cases and analyzes case data to derive the necessary rules. However, it is not always effective for multi-axis machining, because enough case data are not collected for micro process planning of a specific multi-axis machine tool. In this study, a digital twin of multi-axis machine tool in cyberspace is proposed to collect real and virtual machining case data for micro process planning.

A Reliability Analysis of NC Machine Tools Based on the Weibull Distribution

2015 ◽  
Vol 741 ◽  
pp. 763-767
Author(s):  
Hui Liang Li
Keyword(s):  
Weibull Distribution ◽  
Machine Tool ◽  
Machine Tools ◽  
Interval Estimation ◽  
Point Estimation ◽  
Numerical Control ◽  
Control Machine Tool ◽  
Failure Data ◽  
Nc Machine ◽  
Nc Machine Tools

In this paper, a series of numerical control machine tool truncated failure data collect.The data are assumed to be two parameter weibull distribution and related parameters is obtained and relevant inspection and test of hypothesis, it is concluded that the mathematical model of batch of nc machine tool failure interval time distribution.Relevant indicators to determine the reliability of nc machine tools, machine tool's observations, Machine tool observations, point estimation and interval estimation index value provide a theoretical basis for the research on reliability of machine tool.

scholarly journals Modular design research of computer numerical control machine tools oriented to customer requirements

2020 ◽  
Vol 12 (4) ◽  
pp. 168781402091657
Author(s):  
Fei Li ◽  
Xudong Li ◽  
Hualong Xie
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Quality Function Deployment ◽  
Modular Design ◽  
Computer Numerical Control ◽  
Mapping Method ◽  
Numerical Control ◽  
Control Machine Tool ◽  
Control Machine ◽  
Customer Demands

In order to study the modular design of computer numerical control machine tools oriented to customer demands, the customer demand information model was established based on rough analytic hierarchy process and information entropy by analyzing and transforming customer demands. Based on the domain mapping method of axiomatic design and quality function deployment integration, the product function model and structure model of computer numerical control machine tools are established. Based on fuzzy clustering analysis, the module division of computer numerical control machine tools is studied, and the dynamic clustering diagram of computer numerical control machine tools is formed with MATLAB as the operating environment. Based on Technique for Order Preference by Similarity to Ideal Solution method, the scheme of computer numerical control machine tools module division is evaluated. Taking the horizontal computer numerical control machine tool products of Shenyang Machine Tool Group as an example, the module division is carried out. The example design and the result analysis prove that the module division system is very effective and fast.

Research on the 840D NC Machine Tool Production Process Monitoring and Management

2014 ◽  
Vol 577 ◽  
pp. 421-424
Author(s):  
Le Ping Chu ◽  
De Ming Xiao ◽  
Zai Yu Chen ◽  
Cheng Rong Pian ◽  
Nan Wu ◽  
...  
Keyword(s):  
Machine Tool ◽  
Production Process ◽  
Machine Tools ◽  
Numerical Control ◽  
Nc System ◽  
Nc Machine Tool ◽  
Nc Machine ◽  
Nc Machine Tools ◽  
Plc Program ◽  
Status Data

According to the communication principle of 840D numerical control (NC) system and internal data structure, the PLC program is developed to make 840D system state data transmit to the PC with the MPI channels; production status data real-time monitoring system based on 840D NC machine tools is developed, meanwhile, the monitoring and data management for NC machine tool production process status is realized.

Correct Use and Maintenance of Nc Machine Tools

2014 ◽  
Vol 651-653 ◽  
pp. 676-679
Author(s):  
Quan Fang Sun ◽  
Jun Ling Zhang
Keyword(s):  
Control System ◽  
Machine Tool ◽  
Machine Tools ◽  
Numerical Control ◽  
Numerical Control System ◽  
Nc Machine Tool ◽  
Important Index ◽  
Nc Machine ◽  
Nc Machine Tools ◽  
Reasonable Use

A country's level of Nc machine tool and ownership, is to measure the level of manufacturing and industrial modernization level of important indicators, is also an important index to measure national comprehensive competitiveness. Therefore, how to better use and maintenance of Nc machine tool is an important issue. This paper introduced how to reasonable use of Nc machine tools, as well as the use of the numerical control system and inspection.

Data acquisition and data mining in the manufacturing process of computer numerical control machine tools

2017 ◽  
Vol 232 (13) ◽  
pp. 2398-2408 ◽  
Author(s):  
Wei Wang ◽  
Hai Li ◽  
Pu Huang ◽  
Xinyu Zhang
Keyword(s):  
Machine Tool ◽  
Data Acquisition ◽  
Manufacturing Process ◽  
Machine Tools ◽  
Numerical Control ◽  
Process Data ◽  
Communication Architecture ◽  
Machine Performance ◽  
Five Axis ◽  
Siemens 840D

Networks of five-axis machine tools produce huge amounts of process data. These data directly reflect the running condition of the machine tool but are seldom used to examine the machine performance. This study proposes a new data acquisition method based on the Object linking and embedding for Process Control protocol without any additional monitoring equipment. The data collection principle is explained, and a client is developed based on the SIEMENS 840D system. Considering less influence on the manufacturing process, a communication architecture for the machine network is designed with a special computer transmitting the data to the server. A compression algorithm is applied to reduce the storage capacity of massive amounts of data. Finally, a method for predicting the future performance of the machine tool is proposed using similarity analysis of the time series. A Petri net model is also established to diagnose possible failure causes. These methods significantly improve the machine tool reliability and find potentially important information from the data in the manufacturing process.

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