Analysis and Research of Reliability Technology of CNC Machine Tools

2013 ◽  
Vol 584 ◽  
pp. 208-213 ◽  
Author(s):  
Zhe Liu ◽  
Jing Chuan Dong ◽  
Tai Yong Wang ◽  
Bo Li ◽  
Yu Long Cui

From the middle of the 20th century, CNC(Computer numerical control) machine tool has brought a revolutionary change to the mechanical manufacturing industry. CNC machine tool is a kind of highly mechatronics product. It has the Characteristic of high precision and high productivity. Therefore it develops quite fast and improves various kind of the quality of the products. It speeds up the development of machinery industry. In order to meet the requirements of the processing accuracy and speed of modern society, the structure and components of the machine have also become complicated. In order to protect the safety of operators and reduce time of machine repaired as well as improve efficiency, the requirements of the reliability of CNC machine tool should be greatly improved. This study will briefly introduce the concept of reliability and put forward some measures to improve the reliability.

2010 ◽  
Vol 42 ◽  
pp. 335-338
Author(s):  
Hua Li Su ◽  
Xiao Peng Miao ◽  
Yong Zhang

With the continuous development of CNC technology, CNC machine tools run at the higher speed. Cutting force will be greater, which is bound to exacerbate the wear and tear of the machine tool guides. Therefore, new requirements of numerical control machine tool guide surface hardness are proposed. Using Laser surface heat treatment process to scan the guide surface of CNC Machine Tool, the guide can get high hardness hardened layer. After being casted iron HT300 was heat treated by the laser, the microstructure is homogeneous, very fine martensite. Its Surface hardness can get to HV832. The treatment enhances the surface abrasion resistance, scratch-resistant capacity.


Author(s):  
Xun Xu

The introduction of CNC machines has radically changed the manufacturing industry. Curves are as easy to cut as straight lines, complex 3-D structures are relatively easy to produce, and the number of machining steps that required human action has dramatically reduced. With the increased automation of manufacturing processes with CNC machining, considerable improvements in consistency and quality can be achieved. CNC automation reduced the frequency of errors and provided CNC operators with time to perform additional tasks. CNC automation also allows for more flexibility in the way parts are held in the manufacturing process and the time required to change the machine to produce different components. In a production environment, a series of CNC machines may be combined into one station, commonly called a “cell”, to progressively machine a part requiring several operations. CNC controller is the “brain” of a CNC machine, whereas the physical configuration of the machine tool is the “skeleton”. A thorough understanding of the physical configuration of a machine tool is always a priority for a CNC programmer as well as the CNC machine tool manufacturers. This chapter starts with a historical perspective of CNC machine tools. Two typical types of CNC machine tools (i.e. vertical and horizontal machining centres) are first discussed. Tooling systems for a CNC machine tool are integral part of a CNC system and are therefore elaborated. Also discussed are the four principal elements of a CNC machine tool. They are machine base, machine spindle, spindle drive, and slide drive. What letter should be assigned to a linear or rotary axis and what if a machine tool has two sets of linear axes? These questions are answered later in the chapter. In order for readers to better comprehend the axis and motion designations, a number of machine tool schematics are given.


2013 ◽  
Vol 791-793 ◽  
pp. 967-970
Author(s):  
Guo Min Lin ◽  
Miao Shang ◽  
Wen Guang Zhang

CNC machine tool fault types, repair characteristics, the principle to be followed are described. The mechanical systems, Numerical control system, servo system fault diagnosis and repair for CNC machine tools are analyzed in detail. The strategy of the hardware faults such as main spindle part, the ball screw-nut pairs, cutter and tool change device, the strategy of the software repair are proposed.


2012 ◽  
Vol 562-564 ◽  
pp. 1505-1508
Author(s):  
Mu Lan Wang ◽  
Kai Yun Xu ◽  
Chuan He ◽  
Lei Zhou

Permanent Magnet Synchronous Torque Motor (PMSTM) has the main characteristics of low speed, high torque, high precision and excellent stability, which can be applied to implement the direct driving technology for CNC (Computer Numerical Control) machine tool. In this paper, the mathematical model of PMSTM is simply introduced, and the various control strategies are discussed in detail. According to the requirement of high performance for PMSTM driving servo system in CNC machine tool, the corresponding suitable control method is employed in the feed servo system. The proposed scheme is also promoted to apply in the spindle system, the tool holder and the turntable of machine tool.


2013 ◽  
Vol 774-776 ◽  
pp. 1458-1461
Author(s):  
Huan Yun Wang ◽  
Xiu Fen Liu

CNC machine tools are the key equipment in the equipment manufacturing industry, which is related to the national economic construction and strategic position, and is an important symbol reflecting the national comprehensive level. This article analyzes the emergency and characteristics of CNC machine tools and its development trend such as high precision, high speed, high reliability, complex, intelligent, flexibility, integration and openness.


2015 ◽  
Vol 4 (2) ◽  
pp. 28-46 ◽  
Author(s):  
Anoop Kumar Sahu ◽  
Nitin Kumar Sahu ◽  
Atul Kumar Sahu

In today's era, managerial decision making has become a very momentous component due to the leverage of attention on achieving organizational goal i.e. enhancing effective utilization of input assets, satisfying customers' demand and minimizing loss (maximize profit). The evaluation of the most appropriate Computer Numerical Control (CNC) machine tool has become one of the key factors for sustaining the organization/manufacturing sectors/production units at competitive global market place. Productivity, precision and accuracy etc. are the most important issues behind adaptation/exploration of CNC machine tools. So, in such a cases, subjective indices are considered beside the objective indices and complexity of the CNC machine tool evaluation decision problems is solved via subjective assessments (judgment) of expert panel, also called the decision-making group. In this reporting, TOPSIS (technique for order preference by similarity to ideal solution) based Multi-Criteria Decision Making (MCDM) approach has fruitfully applied to emphasize the decision making scenario at the subjective information evaluation index (indices) platform. So, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) analytical methodology conjunction with Trapezoidal Fuzzy Number (TFN) has been explored for assessing and benchmarking the most preferable CNC machine tool from a group of preferred options/alternatives. Finally, an empirical case study has been carried out check the feasibility, efficiency and validity of proposed methodology and the benchmarking of preferred alternative machine tool has been derived in accordance with descending value of the ‘collective index'. Higher value of ‘collective index' reflects higher degree of performance extent.


2013 ◽  
Vol 274 ◽  
pp. 7-10 ◽  
Author(s):  
Xiao Meng Lu

Based on the study of ergonomics, this paper summarizes morphological characteristics of computer numerical control machine tool modeling, and according to the work functions and operation characteristics, it gives an analysis of the principles and requirements of computer numerical control machine tool modeling design and ergonomics, which will help broaden our thoughts in designing more vivid, lively and rapid new computer numerical control machine tool modeling.


Author(s):  
Y Q Zhou ◽  
X S Mei ◽  
G D Jiang ◽  
N G Sun ◽  
T Tao

Slide level has a lot of influence on computer numerical control (CNC) machine tool performance. The deterioration of slide level will result in torsional vibration of the feed-axis control system and lower CNC machine tool control precision. Hence, it is necessary to investigate evaluation technology for the slide level of CNC machine tools. In this article, a novel kind of sensorless evaluation method for machine tool slide level based on linear scale or motor encoder and AC servo motor current/output torque is proposed. To improve evaluation precision, a kind of filtering method based on empirical mode decomposition (EMD) technology is employed. The analysis results of the experiments show that it is simple, rapid, feasible, and reliable to use sensorless information for evaluating slide level based on the EMD method.


2013 ◽  
Vol 561 ◽  
pp. 626-629
Author(s):  
Shang Jun Guan ◽  
Ke Yang

Our self-developed a combining CNC machine tool of turning and grinding uses modular structure,easy to operate and easy to service,so it has been widely applied. For the most part, there will be alarms when the combining CNC machine tool of turning and grinding has faults, but sometimes there may be no alarm. This paper briefly presents the no alarm faults examples and its resolutions for a combining CNC (Computer Numerical Control) machine tool of turning and grinding, which provides an important basis for technicians to operate and maintain the Combining CNC machine tool of turning and grinding.


2021 ◽  
Author(s):  
Mohmad Iqbal ◽  
Ashok Kumar Madan

Abstract The efficiency of the Flexible Manufacturing System (FMS) is highly influenced by computer numerical control (CNC) machine tools. The most common causes of CNC machine tool failure is the bearing faults that influences the performance of manufacturing system. The detection and diagnosis of bearing defects are crucial to the reliable functioning of revolving machinery. This paper suggests an intelligent vibration-based condition and fault diagnostic technique for the identification of bearing faults in CNC machine tool. Investigational vibration data obtained for various bearings and operational requirements were analyzed in order to create a structure for the monitoring and classification of bearing defects in order to determine the health of the machine. Fault diagnosis was made using hybrid signal decomposition (HSD) methodology for the decomposition of the vibration signal. Vibration features derived from the received decomposed raw signal were chosen using the key component review to eliminate redundant features. Subsequently, these related features were input into support vector machines (SVM) and artificial neural network (ANN) for classification of various bearing faults in CNC machine tool. Experimental outcome suggest that the proposed approach has an immense capacity to prevent unplanned and unnecessary device shutdowns due to loss of bearings in CNC machine tool.


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