Computer control system for a metal cutting machine

Robotics Automation and Control, 2008

2001

Note 1: Control voltage +-10V, 10mA max, Reference AGND. For Single-Ended Command leave DAC1/ pin floating. Note 2: Leave floating if not used. AGND is return line. Note 3: Transducer sensitivity is 250 mV/Amp. Note 4: Direction may be enabled/disabled. Note 5: For rotaty axis tie pins to AGND. Must be conducting to PMAC AGND to consider itself not into this limit. or Automatic limit function disabled with IX25 bit 17 = 1 (20000). Note 6: Output relay contact is closed to indicate drive OK or Auotomatic function can be disabled with Ix25 bit 20 = 1 (100000).

International Journal of Electrical and Computer Engineering (IJECE), 2023

Most of the old machines installed in different industries are managed manually by system operators. This action makes their productivity low and not suitable to cover the needs in other sectors. In addition, these machines are not without risks due to the proximity of the operators to them. The installing a new full system instead of the old one on the same site requires very high costs. So, modernizing the same old system by making its operation automatic has become necessary to reduce the economic cost significantly. In this paper, an automatic control system based on programmable logic controller (PLC) for the cutting steel plate machine that had been managed manually in a factory is designed. The system includes an Encoder that is used to specify the length of the steel plate to be cut by sending a signal to the PLC. The system operation is completed by using human machine interface (HMI) unit to monitor and control the system performance by the system operator. A practical test for the developed system offered more productivity (more than 30%), more safety, reduces human efforts and the total daily production cost (less than one third).

International Journal of Engineering Applied Sciences and Technology, 2019

today, the concept of retrofitting is a common principle in the pursuit of renewing outdated machine tools. The involvement of automation in conventional cutting machine becomes a must. It will improve meantime between failures, meantime to repair and will save energy as well. The wire cutting and straightening machine is selected to be retrofitted, because the machine is mechanically good.. And the retrofitting is based on a PLC control scheme. The machine used has specified length to suit the required length for the shelves and basket used in air cooler refrigerators plant, so it is a very important machine in the company production line, any failure in any part will cause a considerable delay in the final production line. PLC is a suitable the manufacturing environment [1]. This paper an attempt is made to replace the conventional control system with a PLC system in old machine. The result shows a good improvement in down time. There drop in down time percent from 86% and 23% in years 2014 and 2015 respectively to .0.08% in year 2018 after implementation of PLC.

Eksploatacja i Niezawodność – Maintenance and Reliability, 2019

Further development of manufacturing technology, in particular machining requires the search for new innovative technological solutions. This applies in particular to the advanced processing of measurement data from diagnostic and monitoring systems. The increasing amount of data collected by the embedded measurement systems requires development of effective analytical tools to efficiently transform the data into knowledge and implement autonomous machine tools of the future. This issue is of particular importance to assess the condition of the tool and predict its durability, which are crucial for reliability and quality of the manufacturing process. Therefore, a mathematical model was developed to enable effective, real-time classification of the cutting blade status. The model was verified based on real measurement data from an industrial machine tool.

ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2, 2009

CNC machine tools have contributed in a very large extent, to the rise in highly ingenious manufacturing processes. The rise of the CNC machine tool coupled with the advent of sophisticated monitoring and control systems have ensured the tremendous improvements on the efficiency front over the past few decades. There are a number of technologies available in the market today, which meet the requirements of specific technical area. But the sine qua non of a successful industry lies in its ability to facilitate continuous technology change and development to maintain its edge in the competitive arena. The Smart Machine Program Initiative (SMPI) at TechSolve, Cincinnati aims at bringing together six distinct thrust areas viz. Machine Tool Metrology (MTM), On-Machine Probing (OMP), Tool Condition Monitoring (TCM), Health and Maintenance (H&M), Intelligent Process Planning (IPP) and Intelligent Machining Network (IMN) under the surveillance of an expert manufacturing system called the Supervisory System (SS), which acts like the brain of the entire manufacturing process.

Journal of Machine Engineering

Unmanned manufacturing systems has recently gained great interest due to the ever increasing requirements of optimized machining for the realization of the fourth industrial revolution in manufacturing ‘Industry 4.0’. Real-time tool condition monitoring (TCM) and adaptive control (AC) machining system are essential technologies to achieve the required industrial competitive advantage, in terms of reducing cost, increasing productivity, improving quality, and preventing damage to the machined part. New AC systems aim at controlling the process parameters, based on estimating the effects of the sensed real-time machining load on the tool and part integrity. Such an aspect cannot be directly monitored during the machining operation in an industrial environment, which necessitates developing new intelligent model-based process controllers. The new generations of TCM systems target accurate detection of systematic tool wear growth, as well as the prediction of sudden tool failure before ...

Radio and Electronic Engineer, 1963

The advantages and economics of time sharing a computer between a number of machine tool control systems are considered. Some of the circuit techniques necessary to achieve this are described, namely encoders, quantizers, function generators, priority sharing methods, and a matrix for parallel selection. 1. Towards the Computer-Controlled Factory Shortly after the war the idea of a pushbutton factory was publicized, largely through the work of Norbert Wiener. 1 ' 2 Practical progress was slow, but in 1956 there was a further resurgence of interest in automation when the D.S.I.R. produced a report, 3 R. H. MacMillan's book "Automation: Friend or Foe?" was published, 4 and the enthusiasts began to talk about "sweeping the last man out of the factory". 5

Electrical Engineering Handbook, 2001

This paper presents process monitoring and control of machining operations. In this work, a cutting dynamometer mounted on the machine was used to measure the cutting force, cutting speed and the power consumed in the operation. The tool life was also calculated using the Taylor's equation. It was shown that when the cutting tool lifetime elapse, the tool no long give a good cut which imperatively indicates a deteriorating condition of tool life and possible failure.

Journal of Achievements in …, 2007

Purpose: of this paper is to show the benefits of implementation of management of cutting tools in the company which specializes in metal cutting process, after which the production conditions alows new possibilities for improvement of the tool management. Design/methodology/approach: applied in this paper was identification current state and exploatation conditions of cutting tools on lathes and milling machines and organization of the departments and other services, which are directly involved in the cutting tools management system. Findings: of the controlled testings and analyses in every phase of tool management in departments and other services which are directly involved in the tool management system will help to reduce stock and costs. It is possible to identify which operator makes errors and is responsible for inappropriate use of cutting tool. Some disadvantages have been identified and a few suggestions for the improvement in the tool management system have been given. A result of research is easy to apply in company with developed informatic infrastructure and is mostly interesting for CNC workshops. Small companies and specialized low volume productions have to made additional effort to integrate in clusters. Practical implications: are reduction of cutting tool on stock, reduction of employee, quick access to the necessary cutting tools and data, simplicity in tool order and supply. The most important is possibility to monitor and to identify which cutting tools and employees are weakest parts of chain in tool management system. Management activity should be foreseeable in all its segments, which includes both the appropriate choice and use of cutting tools, and monitoring of unwanted phenomena during the cutting process and usage of these data for further purchase of tools. Originality/value: in the paper is turnover methodology applied for determination of management efficacy and formation of employees from different departments in virtual tool management system.