B5 A collision prevention system with enhanced functions for detecting work-piece setting defects of machine tools(Advanced machine tool)

2009 ◽  
Vol 2009.5 (0) ◽  
pp. 79-82
Author(s):  
Toshiaki KIMURA ◽  
Tatsuya IZAKI ◽  
Hisaaki TERADA ◽  
Yukihisa SHITAYA ◽  
Kunihiko SAYAMA ◽  
...  
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Work Piece ◽  
Collision Prevention ◽  
Prevention System

scholarly journals INVESTIGATION OF NOISE TRANSMISSION OF A MACHINE TOOL ENCLOSURE

2019 ◽  
Vol 19 (3) ◽  
pp. 5-17
Author(s):  
Friedrich BLEICHER ◽  
Christoph REICHL ◽  
Felix LINHARDT ◽  
Peter WIMBERGER ◽  
Christoph HABERSOHN ◽  
...  
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Dynamic Stiffness ◽  
Measuring Method ◽  
Work Piece ◽  
Noise Emission ◽  
Mechatronic Systems ◽  
Major Interest ◽  
Noise Transmission ◽  
Moving Parts

Machine tools are highly integrated mechatronic systems consisting of dedicated mechanic design and integrated electrical equipment - in particular drive systems and the CNC-control - to realize the complex relative motion of tool towards work piece. Beside the process related capabilities, like static and dynamic stiffness as well as accuracy behavior and deviation resistance against thermal influence, safety aspects are of major interest. The machine tool enclosure must fulfill multiple requirements like retention capabilities against the moving parts of broken tools, lose work pieces or clamping components. In regular use, the noise emission have to be inhibited at the greatest possible extent by the machine tool enclosure. Nevertheless, the loading door and the moving parts of the workspace envelope are interfaces where noise transmission is harder to be avoided and therefore local noise emissions increase. The aim of the objective investigation is to analyse the noise emission of machine tools to determine the local noise transmission of a machine tool enclosure by using arrays of microphones. By the use of this measuring method, outer surfaces at the front, the side and on the top of the enclosure have been scanned. The local transient acoustic pressures have been recorded using a standard noise source placed on the machine table. In addition, an exemplary manufacturing process has been performed to analyse the frequency dependent location resolved sound emissions.

Optimized Design and Performance Study of High Speed Five-Axis Machine Tools

2020 ◽  
Author(s):  
Tzu-Chi Chan ◽  
Jyun-Sian Yang
Keyword(s):  
Machine Tool ◽  
Dynamic Characteristics ◽  
Machine Tools ◽  
High Speed ◽  
Spectral Response ◽  
Work Piece ◽  
Static And Dynamic Characteristics ◽  
Five Axis ◽  
Speed Accuracy ◽  
Machine Structure

Abstract With the development of machine tools trending toward high precision, intelligence, multi-axis, and high speed, the improvement of the processing performance and rigidity of the machine is considerably important. The objective of this study is to design of a high-speed five-axis moving-column machine tool and perform structural analysis and optimization. We study the static and dynamic characteristics of the five-axis machine tool, design and improve the mechanical structure, and optimize the structural configuration of the machine. The entire machine structure is further analyzed and enhanced to improve its static and dynamic characteristics, including static rigidity, modal, transient, and spectral response characteristics. The static and dynamic characteristics of the machine structure directly affect the machine processing performance, and further affect the work piece precision machined by the tool. Through this study, the design technology for speed, accuracy, and surface roughness of the machine tool are further improved.

scholarly journals A Real-time Collision Prevention System for Machine Tools

Procedia CIRP ◽  
2013 ◽  
Vol 7 ◽  
pp. 329-334 ◽  
Author(s):  
Marco Schumann ◽  
Marco Witt ◽  
Philipp Klimant
Keyword(s):  
Real Time ◽  
Machine Tools ◽  
Collision Prevention ◽  
Prevention System

The Printed Machine Tool for Micro Machining

2014 ◽  
Vol 1018 ◽  
pp. 433-440 ◽  
Author(s):  
Christoph Batke ◽  
Karl Heinz Wurst ◽  
Armin Lechler ◽  
Alexander Verl
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Ball Screw ◽  
Work Piece ◽  
Micro Machining ◽  
Motion Generation ◽  
Alternative Drive ◽  
Space Saving ◽  
Cost Efficient ◽  
Ball Screw Drives

Machine tools for micro machining are so far not adapted to work piece sizes and process forces. They feature hardly any modularity and do not allow reconfiguration in a significant process change. One possibility to adapt the machines is to produce them from plastic or composite materials through generative methods. This “printed” machine is a reconfigurable, monolithic module, in which drives are integrated. By a cooperative motion generation, larger workspaces can be realized while the installation spaces decreases. This gives the possibility to use alternative drive technologies for example piezo-drives. Based on these methods, two small generatively produced machine tools are designed. These machine tools use two different drive principles. The first machine tool is equipped with ball screw drives which are cost efficient and space saving. The second machine tool uses piezo-actuators, which are very dynamic in motion generation. Further has to be examined, which tolerances and rigidities are needed at critical points and which parts can be produced generatively and which in a conventional way.

scholarly journals A Real-time Collision Prevention System for Machine Tools (part II)

Procedia CIRP ◽  
2016 ◽  
Vol 41 ◽  
pp. 789-794 ◽  
Author(s):  
Marco Schumann ◽  
Marco Witt ◽  
Philipp Klimant
Keyword(s):  
Real Time ◽  
Machine Tools ◽  
Collision Prevention ◽  
Prevention System

Development of Measurement for Motion Accuracy of 5 Axis NC Machine Tool

2008 ◽  
Vol 2 (2) ◽  
pp. 111-118 ◽  
Author(s):  
Tomoyuki Saiki ◽  
◽  
Masaomi Tsutsumi ◽  
Hiroshi Suzuki ◽  
Masahide Kouya ◽  
...  
Keyword(s):  
Machine Tool ◽  
Measurement System ◽  
Machine Tools ◽  
Circular Motion ◽  
Work Piece ◽  
Accuracy Measurement ◽  
Nc Machine Tool ◽  
Nc Machine ◽  
Tool Motion ◽  
Five Axis

In terms of the realization for high accurate and effective machining of complicated shape having under cut shape and free formed surface, five axis controlled machine tools become indispensable because they have any tool position and attitude to avoid the collision between machine tool elements and work piece. In order to estimate the motion accuracy of NC machine tool, various kinds of certificate methods like circular cone cutting test prescribed with NAS and DBB method using the circular motion have been developed and standardized. These methods are mainly used for the motion testing of three-axis NC machine tools and therefore new method and measuring equipment for five-axis NC machine tool is needed. This study aims at developing the motion accuracy measurement system which can measure various kinds of motions like linier motion, circular motion and continuous curved motion under simultaneous five-axis controlling and establishing the compensate method of tool motion. Consideration is added from the viewpoint of motion accuracy using measurement system developed in this report in case simultaneous five-axis control motion command value from CL data.

S1402-1-5 Development of a collision prevention system for machine tools (2nd. report) : A simulator collaboration type collision prevention system for machine tools

2009 ◽  
Vol 2009.4 (0) ◽  
pp. 321-322
Author(s):  
Toshiaki KIMURA ◽  
Tatsuya IZAKI ◽  
Hisaaki TERADA ◽  
Yukihisa SHITAYA ◽  
Kunihiko SAYAMA ◽  
...  
Keyword(s):  
Machine Tools ◽  
Collision Prevention ◽  
Prevention System

scholarly journals Recurrent neural networks with long term temporal dependencies in machine tool wear diagnosis and prognosis

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Jianlei Zhang ◽  
Yukun Zeng ◽  
Binil Starly
Keyword(s):  
Neural Network ◽  
Tool Wear ◽  
Machine Tool ◽  
Recurrent Neural Network ◽  
Machine Tools ◽  
Prediction Performance ◽  
Sequential Data ◽  
Diagnosis And Prognosis ◽  
Proposed Model

AbstractData-driven approaches for machine tool wear diagnosis and prognosis are gaining attention in the past few years. The goal of our study is to advance the adaptability, flexibility, prediction performance, and prediction horizon for online monitoring and prediction. This paper proposes the use of a recent deep learning method, based on Gated Recurrent Neural Network architecture, including Long Short Term Memory (LSTM), which try to captures long-term dependencies than regular Recurrent Neural Network method for modeling sequential data, and also the mechanism to realize the online diagnosis and prognosis and remaining useful life (RUL) prediction with indirect measurement collected during the manufacturing process. Existing models are usually tool-specific and can hardly be generalized to other scenarios such as for different tools or operating environments. Different from current methods, the proposed model requires no prior knowledge about the system and thus can be generalized to different scenarios and machine tools. With inherent memory units, the proposed model can also capture long-term dependencies while learning from sequential data such as those collected by condition monitoring sensors, which means it can be accommodated to machine tools with varying life and increase the prediction performance. To prove the validity of the proposed approach, we conducted multiple experiments on a milling machine cutting tool and applied the model for online diagnosis and RUL prediction. Without loss of generality, we incorporate a system transition function and system observation function into the neural net and trained it with signal data from a minimally intrusive vibration sensor. The experiment results showed that our LSTM-based model achieved the best overall accuracy among other methods, with a minimal Mean Square Error (MSE) for tool wear prediction and RUL prediction respectively.

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