A Modular Modeling Approach for the Design of Reconfigurable Machine Tools

2004 ◽  
Author(s):  
Tulga Ersal ◽  
Jeffrey L. Stein ◽  
Loucas S. Louca
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Efficient Design ◽  
Design Environment ◽  
Modular Modeling ◽  
Graph Language ◽  
New Methodologies ◽  
New Generation ◽  
Component Models ◽  
And Control

A new generation of machine tools called Reconfigurable Machine Tools (RMTs) is emerging as a means for industry to be more competitive in a market that experiences frequent changes in demand. New methodologies and tools are necessary for the efficient design of these machine tools. It is the purpose of this paper to present a modular approach for RMT servo axis modeling, which is part of a larger effort to develop an integrated RMT design and control environment. The components of the machine tool are modeled in a modular way, such that the model of any given configuration can be obtained by assembling the corresponding component models together based on the topology of the machine. The component models are built using the bond graph language that enables the straightforward development of the required modular library. These machine tool models can be used for the evaluation, design and control of the RMT servo axes. The approach is demonstrated through examples, and the benefits and drawbacks of this approach are discussed. The results show that the proposed approach is a promising step towards an automated and integrated RMT design environment, and the challenges in order to complete this goal are discussed.

Design of Virtual Machine Tool

2013 ◽  
Vol 722 ◽  
pp. 581-584
Author(s):  
Xin Jian Xu
Keyword(s):  
Machine Tool ◽  
Virtual Machine ◽  
Machine Tools ◽  
Market Demand ◽  
Design Environment ◽  
Virtual Design ◽  
Design Technology ◽  
Virtual Machine Tool ◽  
Short Period

this paper overall programme research on virtual design technology of machine tools, not only established a virtual design environment, identify reasonable options in a relatively short period of time, but also providing the basis for quotation, therefore reflecting a favourable measures quickly to market demand.

Effektive Analyse von Werkzeugmaschinenkalibrierdaten*/Effective analysis of machine tool calibration data. VoluSoft as a showcase for user-friendly visualization and processing of machine tool calibration data

2018 ◽  
Vol 108 (11-12) ◽  
pp. 755-759
Author(s):  
B. Montavon ◽  
P. Dahlem ◽  
R. Schmitt
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Industrie 4.0 ◽  
Calibration Data ◽  
Geometric Errors ◽  
Compensation Process ◽  
Trained Personnel ◽  
User Friendly ◽  
And Control ◽  
Effective Analysis

Kalibrierung und steuerungsbasierte Kompensation geometrischer Fehler von Werkzeugmaschinen sind industriell verfügbare Technologien, ihre Anwendung ist jedoch wenig verbreitet. Die Ursachen hierfür sind häufig der hohe Zeitaufwand, das Defizit an geschultem Personal oder unklare Formulierung des wirtschaftlichen Mehrwertes. Die entwickelte Software „VoluSoft“ zeigt einen Ansatz zur anwenderfreundlichen und flexiblen Verarbeitung von Kalibrierdaten, mit dem Ziel, den Prozess zu vereinfachen und die Wertschöpfung aus den gewonnen Kalibrierdaten im Sinne von Industrie 4.0 zu steigern.   Calibration and control-based compensation of geometric errors of machine tools are methods available at industrial scale, although their application is not very common. Some of the reasons are the high amount of time needed, the lack of trained personnel or the vagueness of their economic benefit. The developed Software “VoluSoft” showcases user-friendly analysis and processing of machine tool calibration data with the objective of simplifying the compensation process. Moreover, the creation of value from calibration data in the context of Industrie 4.0 is increased.

scholarly journals Exploring the Development of Research, Technology and Business of Machine Tool Domain in New-Generation Information Technology Environment Based on Machine Learning

2019 ◽  
Vol 11 (12) ◽  
pp. 3316 ◽  
Author(s):  
Jihong Chen ◽  
Kai Zhang ◽  
Yuan Zhou ◽  
Yufei Liu ◽  
Lingfeng Li ◽  
...  
Keyword(s):  
Information Technology ◽  
Sustainable Development ◽  
Machine Tool ◽  
Machine Tools ◽  
Manufacturing Industry ◽  
Technology Development ◽  
Development Status ◽  
Research Technology ◽  
New Generation ◽  
Generation Information

The combination of new-generation information technology and manufacturing technology has had in a significant and profound impact on the future development paradigm of manufacturing. Machine tools are the basis of virtually everything that is manufactured in the industry, exploring the development of the machine tool domain is of considerable significance to identify the opportunity to develop manufacturing industry and promote the sustainable development of manufacturing in the current tightening constraints of resource environment. Although much attention has been paid to development studies of a specific domain in recent years, it is challenging to conduct a multidimensional study related to the development status of the machine tool domain using existing methods. To solve this challenge, we propose an integrating framework combining topic models, bibliometric, trend analysis and patent analysis to mine multi-source literature within the machine tool domain, including papers, funds, patents, and news. Specifically, papers and funds provided two different perspectives to explore the development status in the research of machine tools. Furthermore, the technology development of machine tools was investigated through patents analysis. Finally, news related to the machine tool industry in recent years was analyzed to examine business focuses on machine tools. The integration of above various analytical methods and multi-dimensional mining of literature enabled analyzing the development of the machine tool domain systematically from multi-perspectives that include research, technology development and industry to provide inspirations about the implications of sustainable development of this domain. The conclusions obtained in this paper is beneficial to different communities of machine tools, in terms of determining the research directions for researchers, identifying industry opportunities for corporations and developing reasonable industry policy for policy makers.

Special Issue on Machine Tool Evaluation

2012 ◽  
Vol 6 (2) ◽  
pp. 109-109
Author(s):  
Atsushi Matsubara
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Cutting Tools ◽  
Active Role ◽  
Tool Geometry ◽  
Special Issue ◽  
Tool Evaluation ◽  
Advanced Knowledge ◽  
And Control ◽  
Kinematic Errors

With machine tools evolving with the hardware and control whose dramatic advances are expanding the field, requirements for performance have grown tougher. These have made it more complicated to design, produce, and maintain machine tool systems. This has also ensured that performance evaluation and prediction technology play an increasingly important and active role in these areas. This special issue on machine tool evaluation should prove especially interesting to researchers and engineers engaged in the enhancement of accuracy, efficiency, and versatility in machine tool systems, including the important disciplines of tooling and cutting tools. The topics that are covered in this special issue include – but are not limited to – the metrology of machine tools, the identification of kinematic errors through machine tool geometry, the evaluation of thermal deformation, the dynamic analysis of machine tools, the evaluation of spindle stiffness, and cutting-edge monitoring technology. All of these provide advanced knowledge concerning that state-of-the-art of technology required to ensure that machine tool design continues to remain innovative. I would like to close here by expressing my sincere appreciation to all those who have worked to make this issue interesting and informative. My special thanks go to the authors of the featured articles and to the reviewers whose invaluable efforts have made this publication possible.

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.

scholarly journals Early Antibody Responses to Experimental Mycobacterium bovis Infection of Cattle

2006 ◽  
Vol 13 (6) ◽  
pp. 648-654 ◽  
Author(s):  
W. R. Waters ◽  
M. V. Palmer ◽  
T. C. Thacker ◽  
J. P. Bannantine ◽  
H. M. Vordermeier ◽  
...  
Keyword(s):  
Mycobacterium Bovis ◽  
Skin Testing ◽  
Rapid Test ◽  
Kinetic Studies ◽  
Immunoblot Analysis ◽  
Immunoglobulin M ◽  
Serum Samples ◽  
Mycobacterial Antigens ◽  
New Generation ◽  
And Control

ABSTRACT Bovine tuberculosis persists as a costly zoonotic disease in numerous countries despite extensive eradication and control efforts. Sequential serum samples obtained from Mycobacterium bovis-infected cattle were evaluated for seroreactivity to mycobacterial antigens. Animals received M. bovis by aerosol, intratonsil, intranasal, or intratracheal inoculation. Assays included the multiantigen print immunoassay for determination of antigen recognition patterns, immunoblot analysis for sensitive kinetic studies, and the VetTB STAT-PAK test, a novel, rapid test based on lateral-flow technology. Responses to MPB83 were detected for all M. bovis-infected animals regardless of the route or strain of M. bovis used for inoculation. Other less commonly recognized antigens included ESAT-6, CFP-10, and MPB70. Responses to MPB83 were detectable as early as 4 weeks after inoculation, were boosted upon injection of purified protein derivatives for skin testing, and persisted throughout the course of each of the four challenge studies. MPB83-specific immunoglobulin M (IgM) was detected prior to MPB83-specific IgG detection; however, early IgM responses rapidly waned, suggesting a benefit of tests that detect both IgM- and IgG-specific antibodies. The VetTB STAT-PAK test detected responses in sera from 60% (15/25) of the animals by 7 weeks after challenge and detected responses in 96% (24/25) of the animals by 18 weeks. These findings demonstrate the potential for new-generation antibody-based tests for the early detection of M. bovis infection in cattle.

Application of Ubiquitous Sensor Network in Collection and Analysis of CNC Machine Tool Processing Status Information

2010 ◽  
Vol 455 ◽  
pp. 621-624
Author(s):  
X. Li ◽  
Y.Y. Yu
Keyword(s):  
Machine Tool ◽  
Sensor Network ◽  
Machine Tools ◽  
Thermal Error ◽  
Development Trend ◽  
Cnc Machine Tools ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Status Information ◽  
The Development Trend

Because of the practical requirement of real-time collection and analysis of CNC machine tool processing status information, we discuss the necessity and feasibility of applying ubiquitous sensor network(USN) in CNC machine tools by analyzing the characteristics of ubiquitous sensor network and the development trend of CNC machine tools, and application of machine tool thermal error compensation based on USN is presented.

Efficiency Improvement of Metal Lathing by Using of an Evaluation Technique of Assembly Machine Tools Quality

2016 ◽  
Vol 684 ◽  
pp. 421-428 ◽  
Author(s):  
D.S. Vasilega ◽  
M.S. Ostapenko
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Quality Evaluation ◽  
Composite Index ◽  
Production Operation ◽  
Evaluation Technique ◽  
Efficiency Improvement ◽  
Index Of Quality

They defined conditions of use, calculated a composite index of quality for different tools, chose a machine tool according to its quality evaluation, calculated efficiency of processing by tools with different parameters for a certain production operation.

A conceptual framework for product service system design for machine tools

2016 ◽  
Vol 23 (5) ◽  
pp. 1227-1248 ◽  
Author(s):  
Pankaj U. Zine ◽  
Makarand S Kulkarni ◽  
Arun K. Ray ◽  
Rakesh Chawla
Keyword(s):  
Machine Tool ◽  
Conceptual Framework ◽  
Machine Tools ◽  
Business Models ◽  
Service System ◽  
Product Service System ◽  
Content Type ◽  
Business Context ◽  
Product Service ◽  
Key Issues

Purpose – The purpose of this paper is to propose a conceptual framework for product service system (PSS) design for machine tools and discuss the PSS implementation issues focusing on the Indian machine tool business sector. Design/methodology/approach – The paper opted for an exploratory survey conducted in the Indian machine tool sector including 39 in-depth interviews with employees of different organizations representing middle and senior management having decision-making authority. It also involves proposing a framework to address the stakeholder’s requirements for services that offers foundation for PSS designers. Findings – The paper helps get an insights about key issues for PSS implementation by the Indian machine tool sector. The hybrid PSS model proposed in the paper can address the stakeholder’s requirements for flexibility in business models through different business phases. Practical implications – The paper offers suggestions for the development of PSS for machine tools for designers and identify issues to be considered particularly in Indian machine tools business context. Originality/value – This paper provides an insight to judge the feasibility of PSS concept for machine tools in Indian context and offers framework for PSS designers.

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