scholarly journals Recent trend in manufacturing system. Introduction of New Carbide-cutting Tools for Machine-tool and Application of Cutting Tools for Robot.

1997 ◽  
Vol 15 (6) ◽  
pp. 848-852
Author(s):  
Fumio Inokuchi
Author(s):  
P Vichare ◽  
A Nassehi ◽  
S Newman

The capability of any manufacturing system primarily depends on its available machine tools. Thus machine tool representation is a vital part of modelling any manufacturing system. With the rapid advances in computerized numerically controlled (CNC) machines, machine tool representation has become a more challenging task than ever before. Today's CNC machine tools are more than just automated manufacturing machines, as they can be considered multi-purpose, multi-tasking, and hybrid machining centres. This paper presents a versatile methodology for representing such state-of-the-art CNC machining system resources. A machine tool model is a conceptual representation of the real machine tool and provides a logical framework for representing its functionality in the manufacturing system. There are several commercial modelling tools available in the market for modelling machine tools. However, there is no common methodology among them to represent the wide diversity of machine tool configurations. These modelling tools are either machine vendor specific or limited in their scope to represent machine tool capability. In addition, the current information models of STEP-NC, namely ISO 14649, can only describe machining operations, technologies, cutting tools, and product geometries. However, they do not support the representation of machine tools. The proposed unified manufacturing resource model (UMRM) has a data model which can fill this gap by providing machine specific data in the form of an EXPRESS schema and act as a complementary part to the STEP-NC standard to represent various machine tools in a standardized form. UMRM is flexible enough to represent any type of CNC machining centre. This machine tool representation can be utilized to represent machine tool functionality and consequential process capabilities for allocating resources for process planning and machining.


1970 ◽  
Vol 185 (1) ◽  
pp. 83-93 ◽  
Author(s):  
F. Koenigsberger

In this paper the problems of introducing the teaching of a specialized subject into undergraduate courses are discussed with particular reference to the specific features of machine-tool technology. These cover the facts that the machine must be considered as part of an overall manufacturing system, so that the concept of performance differs from that encountered in other types of machinery such as internal-combustion engines, and that technological, economic, and human aspects must also be considered. Comparisons are made between Continental, particularly German, practice and present practice in some British universities. Some typical approaches to the organization of postgraduate full-time courses and short-term specialized courses are given. Finally, a comparison is made between the employment of university trained engineers in the machine-tool manufacturing and using industries in Great Britain and in Germany.


2019 ◽  
Vol 8 (2) ◽  
pp. 195-206 ◽  
Author(s):  
Ashutosh Singh ◽  
Mohammad Asjad ◽  
Piyush Gupta ◽  
Jahangir Quamar

The traditional structure of machines (such as lathe, milling, shaper, slotter, drilling and planer) has become questionable because of the modular concepts (such as modularity, scalability, convertibility, mobility and flexibility) and reconfiguration becomes a promising approach towards modular manufacturing machines, in which manufacturing techniques are independent of changes. In this area, reconfigurable machine tool (RMT) forms a new class of modular machines in current manufacturing scenario where the manufacturing industry put a strong pressure on good quality and price reduction. The capabilities of the machines tool and manufacturing systems in reconfigurable manufacturing system (RMS) change with each reconfiguration (both software and hardware modules). In this case, an approach is presented for reconfiguration of horizontal shaper machine for developing the modular shaper cum slotter machine in a manufacturing system by adding some auxiliary (like Scott Russel mechanism) and some basic modules and the reconfiguration features of traditional shaper and slotter machine are also discussed. The proposed approach is illustrated with a figure, which has been designed on 3-D design tool (solid-works software platform). It is expected that, this work will help designers and practising engineers by making them aware of the reconfiguration mechanisms on traditional shaper machine, which have become a necessity for the very survival of manufacturing by lowering the operational costs.


Author(s):  
J. H. Lee ◽  
S. H. Yang ◽  
Y. S. Kim

Miniaturization for manufacturing system has been studied widely since the development of the smallest lathe in the world. Several prototypes are implemented, which are used to produce small parts with high precision. Accuracy and stiffness are the most important factors for design in the development of miniaturized systems. This study presents a method to evaluate static and dynamic characteristics of a miniaturized machine tool (mMT) according to its configuration before building the actual system. The proposed error estimation technique shows that volumetric error can be estimated indirectly at the design stage using error components of one axis and HTM (Homogeneous Transform Matrix), unlike the error modeling technique through direct measurement. Thus, accuracy of the system based on its configuration is analyzed at the design stage itself. The proposed analysis procedure is shown for the case of a 3 axis machine tool. In addition, dynamic characteristics of spindle unit affecting the spindle error are studied.


2018 ◽  
Vol 941 ◽  
pp. 2448-2453 ◽  
Author(s):  
Andrea Böhme ◽  
Felix Schütze ◽  
Sabine Sauer ◽  
Andreas H. Foitzik

Bioreactor systems for cultivating cells in Life Sciences have been widely used for decades. Recently, there is a trend towards miniaturization, disposables and even micro platforms that fulfill increasing demands strongly aiming for production and testing of novel pharmaceutical products. Miniaturized bioreactors allow low power consumption, portability and reduced space requirements and utilize smaller volumes of reagents and samples [1,2]. A recursive strategy is necessary for optimizing the design and the manufacture of such miniaturized bioreactors. For the fabrication of these prototypes utilized micro-milling. Micro milling is a mechanical process which is commonly applied to create micro-structures in metals, e.g. aluminum and steel, or polymers, e.g. poly carbonate substrates. The structures and geometries are generated by utilizing computer aided design. By means of computer-aided manufacturing, the machining operations are implemented and then transferred to the machine tool. The machine tool moves the cutting tools with certain speeds, feeds and traverse ranges to the substrate. Micro milling has the advantage that the materials are generally not degraded by chemical substances, heating procedures or electromagnetic radiation.


Author(s):  
L. J. Sudev ◽  
H. V. Ravindra

The cutting tool is the only element in a machine tool that requires frequent changes due to failure. Drill bit wear can cause catastrophic failure that can result in considerable damage to the work piece and the machine tool. Hence, there is an imperative need to keep a watch on the condition of the cutting tools during the machining process. Over the years, a wide variety of on-line or off-line techniques have been investigated for monitoring abnormal cutting tools. A variety of signals such as tool-tip temperature, forces, power, thrust, torque, vibrations, shock pulse, Acoustic Emission (AE) etc., have been used for monitoring tool failure by on-line technique. The detection and monitoring of AE is commonly used to predict tool failure. Present work involves estimation tool flank wear in drilling based on AE parameters viz., RMS, energy, signal strength, count and frequency by empirical methods of analysis like Multiple Regression Analysis and Group Method of Data Handling (GMDH). The experimental work consisted of drilling S.G Cast iron using high-speed steel drill bit and measuring AE parameters from the workpiece using AE measuring system for different cutting conditions. Machining was stopped at regular intervals of time and tool flank wear was measured by Toolmakers microscope. The experimental data were subjected to simpler methods of analysis to obtain a clear insight of the signals involved. The study of AE-time plots showed a similarity with three phases of tool wear, which implies that the measured AE parameters can be related to tool wear. Multiple Regression Analysis and Drilling is a major material removal process in manufacturing. Infact, the drills have been used widely in industry since the industrial revolution. It was estimated that 40% of all the metal removal operations in the aerospace industry is by drilling. Similar to the other cutting tools, after a certain limit, drill wear can cause catastrophic failure that can result in considerable damage to the work piece even to the machine tool [1]. GMDH methods were successful in estimating flank wear based on measured AE parameters. By Multiple Regression Analysis better estimation was obtained at lower cutting conditions. Three criterion functions of GMDH viz., Regularity, Unbiased and Combined were used for estimation with 50%, 62.5% and 75% of data in the training set. Estimation was done upto Level-4. The results of GMDH estimation showed that regularity criterion functions correlates well for the set of input variables compared with unbiased and combined criteria and least error of estimation was found when 75% of data was used in the training set. The optimum level of estimation increased with the increase in the percentage of data in the training set. Comparison of the performance of Multiple Regression Analysis and GMDH indicated that estimation by regularity criterion of GMDH had an edge over Multiple Regression Analysis.


2014 ◽  
Vol 8 (6) ◽  
pp. 791-791
Author(s):  
Tojiro Aoyama

Control and process monitoring are key technologies supporting high machining accuracy and efficiency. This special issue features six papers taking novel approaches to controlling machine and cutting tools and monitoring the machining process. The motion control of machine tools and cutting tools are introduced. A new challenge for monitoring the machining process by referring to NC control servo signals implements a practical proposal. The precise identification of friction at driving elements of machine tool components is an important factor in improving machine tool control motion accuracy. I would like to express my sincere appreciation to the authors and reviewers whose invaluable efforts have helped make the publication of this manuscript possible.


1979 ◽  
Vol 101 (3) ◽  
pp. 250-254 ◽  
Author(s):  
K. Hitomi ◽  
M. Nakajima ◽  
N. Takahashi

A stochastic mathematical model was built and analyzed by using the reliability theory for a manufacturing system in which two machines are arranged in parallel. Under the condition that the system is required to be operated at a constant rate of production, the variation of reliability and failure rate of cutting tools with the lapse of time were investigated, using the stress-strength model in failure physics. A time interval of tool replacement in the continuous operation and a time to failure for a manufacturing system which is composed of two lathes were also investigated.


2006 ◽  
Vol 315-316 ◽  
pp. 656-660
Author(s):  
Song Zhang ◽  
Xing Ai ◽  
Jun Zhao ◽  
J.G. Liu

During high-speed machining, in order to make cutting tools work reliably and obtain ideal machining quality, not only good static characteristics, but also good dynamic characteristics are necessary. In this paper, with the help of the close combination of experimental research and modal parameter identification technique, the dynamic characteristics of the machine tool/cutting tool system were analyzed. Experimental results indicated that studying the effect of the dynamic characteristics on cutting force, machining accuracy and surface roughness could provide theoretical basis for effectively excluding the resonance zone that obviously destroyed machining quality and then optimizing cutting parameters further.


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