Emerging Virtual Machine Tools

2003 ◽  
Author(s):  
Michael F. Zaeh ◽  
Georg M. W. Wuensch ◽  
Clemens Poernbacher ◽  
Michael S. O. Ehrenstrasser
Keyword(s):  
Machine Tool ◽  
Concurrent Engineering ◽  
Machine Tools ◽  
User Requirements ◽  
Tool Development ◽  
Hardware In The Loop ◽  
Simulation Environment ◽  
Control Software ◽  
Development Costs ◽  
Strategy Change

In machine tool development, control software engineering has reached a cost proportion of over fifty percent of the total development costs. Highly customized user requirements and the compulsion to shorten development cycles accompany the need to master risen quality requirements of the mechatronic product machine tool. This enforces a strategy change from prevailing sequential engineering to concurrent engineering. The paper proposes a Hardware-in-the-Loop simulation environment as an interdisciplinary discussion platform to virtually implement, evaluate and optimize a machine tool throughout all stages of development.

Automatische HiLS-Generierung für komplexe Maschinen*/Automated creation of HiLS of complex machine tools

2016 ◽  
Vol 106 (07-08) ◽  
pp. 501-505
Author(s):  
S. Scheifele ◽  
A. Prof. Verl
Keyword(s):  
Machine Tool ◽  
Control Systems ◽  
Software Quality ◽  
Machine Tools ◽  
Hardware In The Loop ◽  
Automated Generation ◽  
Quality Of Control

Die Hardware-in-the-Loop-Simulation (HiLS) von Maschinen und Anlagen wird eingesetzt, um die Zeiten zur Herstellung einer Maschine zu verkürzen und die Softwarequalität der Steuerung zu erhöhen. Inzwischen spielt sie auch bei der Projektierung und der Konzeptüberprüfung eine immer größere Rolle. Der Fachbeitrag zeigt auf, mit welchen Methoden der Modellierung wiederverwendbare Modelle geschaffen und so automatisch HiLS generiert werden können.   The hardware-in-the-loop simulation (HiLS) of machinery and equipment is used to reduce the time needed for producing a machine tool and to enhance the software quality of control systems. Today HiLS also plays an important role for commissioning machine tools and for the concept verification. This paper points out which methods can be used for the modeling of reusable models and, thus, how an automated generation of a HiLS can be realized.

Mini Special Issue on Machine Tool Structure and its Design Optimization

2015 ◽  
Vol 9 (6) ◽  
pp. 679-679
Author(s):  
Hidenori Shinno
Keyword(s):  
Machine Tool ◽  
Design Optimization ◽  
Machine Tools ◽  
Rapid Change ◽  
Tool Development ◽  
Special Issue ◽  
Design Concepts ◽  
Machine Tool Structure ◽  
Dynamic Rigidity ◽  
Manufacturing Environments

Demands for machine tools that are highly accurate, productive, flexible, and compact have been growing in the aerospace, automotive, energy, factory automation, and other industries. Rationally meeting these severe, complex requirements has led to numerous research and development activities involving machine tools. Few machine tool technologies have been established, however, despite the machine tool industry’s long history. Within the next several years, the rapid change and enlargement of the This mini special issue on machine tool structure and its design optimization features 8 papers classified under the following themes: - Enhancing high static and dynamic rigidity - Minimizing and optimizing thermal deformation - Proposing new structural analysis methods for machine tools - Selecting and applying new structural materials to the machinetool structure - Applying new structural designs and mechanisms These papers present new design concepts, design methods, and innovative examples in machine tool development. I believe that successfully combining these core technologies will provide machine tool compatible with future manufacturing environments. In closing, I would like to express my sincere gratitude to the authors and reviewers for their interesting and dedicated contributions to this special issue.

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.

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.

Specifications of Machine-Tool Equipment: Forecasting Techniques

2015 ◽  
Vol 788 ◽  
pp. 318-324
Author(s):  
Egor A. Zverev ◽  
Pavel Tregubchak ◽  
Nikita Vakhrushev ◽  
Stanislav Ptitsyn
Keyword(s):  
Probability Theory ◽  
Machine Tool ◽  
Machine Tools ◽  
Automated Design ◽  
General Concept ◽  
Mathematical Statistics ◽  
Development Phase ◽  
Design Engineering ◽  
Engineering Systems ◽  
Initial Development

The problems of theoretical grounds of machine tools specifications based on mathematic operational simulation are discussed in the paper. The proposed approach is based on the probability theory and mathematical statistics apparatus. It is universal and makes it possible to use automated design engineering systems at an initial development phase of the general concept of new equipment.

Detektion von Bauteilfehlern aus Maschinendaten/Detection of workpiece flaws out of machine tool data – possibilities and limits

2019 ◽  
Vol 109 (11-12) ◽  
pp. 828-832
Author(s):  
M. Weigold ◽  
A. Fertig ◽  
C. Bauerdick
Keyword(s):  
Quality Assurance ◽  
Machine Tool ◽  
Machine Tools ◽  
Machining Time ◽  
Parallel Detection ◽  
High Data ◽  
Novel Approach ◽  
Data Rates ◽  
High Data Rates

Durch zunehmende Vernetzung und Digitalisierung von Werkzeugmaschinen und Automatisierungskomponenten ergibt sich die Möglichkeit, Signale mit hohen Datenraten und großer Vielfalt aufzuzeichnen. Der vorliegende Beitrag beschreibt erste Untersuchungen zur Realisierbarkeit einer prozessparallelen Detektion von Bauteilfehlern auf Basis interner Werkzeugmaschinendaten. Dabei werden Potenziale und Grenzen für diesen neuartigen Ansatz zur hauptzeitparallelen Qualitätssicherung aufgezeigt.   The increasing networking and digitization of machine tools and automation components provides the opportunity to record signals with high data rates and great diversity. This paper describes first investigations on the feasibility of a process-parallel detection of component defects on the basis of internal machine tool data. Potentials and limits for this novel approach to quality assurance parallel to machining time are presented.

Ausfallanalyse von Werkzeugmaschinen*/A reliability analysis of machine tools - Total Cost of Ownership 2.0 in relation to the application

2017 ◽  
Vol 107 (07-08) ◽  
pp. 507-510
Author(s):  
T. Stähr ◽  
G. Prof. Lanza
Keyword(s):  
Machine Tool ◽  
Reliability Analysis ◽  
Machine Tools ◽  
Economic Cost ◽  
Lifetime Prediction ◽  
Failure Behavior ◽  
Cost Consideration ◽  
Total Cost Of Ownership ◽  
Total Cost ◽  
Cost Of Ownership

Realitätsnahe Lebensdauerprognosen sind für eine ganzheitliche, betriebswirtschaftliche Kostenbetrachtung sehr wichtig. Wirtschaft und Forschung bemühen sich seit Langem, die Total Cost of Ownership (TCO) von Werkzeugmaschinen zu berücksichtigen. Eine Umfrage unter Herstellern und Betreibern von Werkzeugmaschinen analysiert Verbreitung, erwartete Potentiale sowie Hemmnisse von TCO-Betrachtungen. Anhand der Anforderungen der Branche wurde ein Modell mit Fokus auf der belastungsabhängigen Beschreibung des Ausfallverhaltens von Maschinen und Anlagen entwickelt, das in bestehende Standards eingebettet werden kann.   A realistic lifetime prediction is highly valued in a holistic economic cost consideration. For years, industry and research have endeavored to consider the Total Cost of Ownership (TCO) of a machine tool. A survey of manufacturers and operators of machine tools analyzes distribution, expected potential and obstacles of TCO. Based on the identified requirements, a model that can be integrated into existing standards has been developed. It focuses on failure behavior of machines and plants, taking stresses into account.

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