Innovative Simulation Technology for Real-Time Calculation of the Thermo-Elastic Behaviour of Machine Tools in Motion

2015 ◽  
Vol 794 ◽  
pp. 363-370 ◽  
Author(s):  
Michael Beitelschmidt ◽  
Alexander Galant ◽  
Knut Großmann ◽  
Bernd Kauschinger
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Calculation Model ◽  
Elastic Behaviour ◽  
Simulation Technology ◽  
Fe Modelling ◽  
Time Saving ◽  
Time Calculation ◽  
To Come ◽  
Cutting Processes

Heat resulting from motors, moved contacts as well as cutting processes, causes time-dependent deformation of machine structures that reduces the precision of machine tools. For design optimization and especially for correction of thermal induced displacements, it is necessary to have compact models, which allow fast simulation of the thermo-elastic behaviour of the entire moving machine tool during the process. This paper presents an innovative simulation technology that permits, starting from CAD geometry through FE modelling, to come to a time-saving thermo-elastic calculation model of entire moved machine tools. Thereby, calculated temperature and deformation fields are of high geometrical resolution. Results and potentials of the new approach are demonstrated on example of a Hexapod machine tool.

Thermal Impact of Different Cooling Sleeve’s Flow Geometries in Motorized High-Speed Spindles of Machine Tools

2016 ◽  
Author(s):  
Juliane Weber ◽  
Linart Shabi ◽  
Jürgen Weber
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
High Speed ◽  
Network Models ◽  
The Body ◽  
Channel Structure ◽  
Time Saving ◽  
Elastic Deformations ◽  
Cfd Models ◽  
Calculation Models

This paper presents an experimental investigation and computer simulation of motor cooling sleeves in machine tools’ spindles in order to examine their thermo-energetic behavior. First of all, most typical designs of cooling sleeves are identified, e. g. the single helical and the double helical channel structure. The paper highlights the simulation of these different cooling sleeve designs by means of network models with lumped parameters and computational fluid dynamics (CFD). With the help of CFD analyses, which can also take the conjugate heat transfer (CHT) into account, a profound understanding of the flow effects and the complex thermo-energetic exchange processes between the body and the flowing inside can be achieved. Because these very exacting CFD models require lengthy computation times, they have to be reduced to time-saving calculation models like network models. This step is essential for the planned integration in the control of the machine tool in order to correct the tool center point (TCP) errors due to thermo-elastic deformations. Finally, the developed thermo-hydraulic models are validated against measurements on a developed test rig utilizing thermocouples and a thermographic camera to capture temperatures. The results demonstrate that the presented models allow a sufficiently accurate characterization of the thermo-energetic behavior of motor spindles’ cooling sleeves in order to achieve enhanced prediction of the temperature distribution as well as an increase in manufacturing accuracy. In conclusion, it is shown how the resulting network calculation models can be used within the project group by integrating them into the complete model of the virtual machine tool in order to predict and correct its thermo-elastic deformations that will be part of the ongoing investigations.

In Maschinendaten Fehler beim Gewinden detektieren/Detection of process errors during tapping in machine tool data

2021 ◽  
Vol 111 (01-02) ◽  
pp. 20-24
Author(s):  
Oliver Kohn ◽  
Alexander Fertig ◽  
Benjamin Brockhaus ◽  
Matthias Weigold
Keyword(s):  
Machine Tool ◽  
Value Chain ◽  
Machine Tools ◽  
Data Driven ◽  
New Approaches ◽  
Data Driven Approach ◽  
Cutting Processes ◽  
Detection Of Defects

Die zunehmende Digitalisierung von Werkzeugmaschinen erlaubt neue Ansätze zur Überwachung von Zerspanungsprozessen. Speziell beim Gewindebohren kann am Ende der Wertschöpfungskette ein Fehler im Prozess zum Ausschuss des gesamten Bauteils führen. In diesem Beitrag wird ein neuer datengetriebener Ansatz zur Detektion von Fehlern in Gewindebohrprozessen vorgestellt. Die Basis dafür bilden hochfrequent aufgezeichnete interne Daten der Werkzeugmaschinensteuerung.   The increasing digitalization of machine tools allows for new approaches to monitor and improve cutting processes in machining production. Particularly in the case of tapping, errors in the process at the end of the value chain can lead to rejection of the entire component. In this paper, a new data-driven approach for the detection of defects during tapping processes is presented. The basis for this approach is provided by high-frequently recorded internal machine tool data.

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.

New Development in High Efficiency Deep Grinding

2012 ◽  
Author(s):  
Andre D. L. Batako ◽  
Valery V. Kuzin ◽  
Brian Rowe
Keyword(s):  
Machine Tool ◽  
High Efficiency ◽  
Machining Process ◽  
Depth Of Cut ◽  
Removal Rates ◽  
Workpiece Surface ◽  
New Development ◽  
Cutting Processes ◽  
Selection Of ◽  
Made In

High Efficiency Deep Grinding (HEDG) has been known to secure high removal rates in grinding processes at high wheel speed, relatively large depth of cut and moderately high work speed. High removal rates in HEDG are associated with very efficient grinding and secure very low specific energy comparable to conventional cutting processes. Though there exist HEDG-enabled machine tools, the wide spread of HEDG has been very limited due to the requirement for the machine tool and process design to ensure workpiece surface integrity. HEDG is an aggressive machining process that requires an adequate selection of grinding parameters in order to be successful within a given machine tool and workpiece configuration. This paper presents progress made in the development of a specialised HEDG machine. Results of HEDG processes obtained from the designed machine tool are presented to illustrate achievable high specific removal rates. Specific grinding energies are shown alongside with measured contact arc temperatures. An enhanced single-pole thermocouple technique was used to measure the actual contact temperatures in deep cutting. The performance of conventional wheels is depicted together with the performance of a CBN wheel obtained from actual industrial tests.

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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