FE-basierte Optimierung von mehrachsigen Antriebssystemen*/FE-based optimization of multi-axis systems

2018 ◽  
Vol 108 (05) ◽  
pp. 284-288
Author(s):  
W. Herfs ◽  
S. Kehne ◽  
A. Epple

Die Auslegung von Vorschubantrieben in Werkzeugmaschinen ist zu meist ein sehr fehleranfälliger Prozess, da es schwierig ist, abzuschätzen, wie sich die Maschine unter Belastung dynamisch verhält. Diese Veröffentlichung stellt einen Finite-Elemente-basierten Ansatz vor, wie eine Antriebsregelung in eine Mehrkörpersimulation integriert werden kann und wie das Zusammenspiel von zwei Antrieben im Prozess simuliert und optimiert werden kann.   The design of feed forward drives in machine tools is frequently an error-prone process, because it is difficult to estimate how the machine tool acts dynamically during processing. This publication introduces a new finite-element-based approach that integrates axis controllers and is able to simulate and optimize the multi-axis behavior of two axes in a process.

2021 ◽  
Vol 143 (10) ◽  
Author(s):  
Matthew J. Triebe ◽  
Fu Zhao ◽  
John W. Sutherland

Abstract Reducing the energy consumption of machine tools is important from a sustainable manufacturing perspective. Much of a machine tool’s environmental impact comes from the energy it consumes during its use phase. To move elements of a machine tool requires energy, and if the mass of those elements can be reduced, then the required energy would be reduced. Therefore, this paper proposes a genetic algorithm to design lightweight machine tools to reduce their energy consumption. This is specifically applied to optimize the structure of a machine tool slide table, which moves throughout the use of the machine tool, with the goal of reducing its mass without sacrificing its stiffness. The table is envisioned as a sandwich panel, and the proposed genetic algorithm optimizes the core of the sandwich structure while considering both mass and stiffness. A finite element model is used to assess the strength of the proposed designs. Finite element results indicate that the strength of the lightweight tables is comparable with a traditional table design.


2010 ◽  
Vol 29-32 ◽  
pp. 2443-2448
Author(s):  
Dong Fang Hu ◽  
Yan Li ◽  
Jian Dong Shang

Considering the nonlinear relationship of the joint surface between parts in machine tool assembly, a finite element analysis method based on assembly relationship is proposed. By this method, a finite element model is set up. Based on the analysis of experimental data, the result is close to the actual working conditions, which proves that this analysis method based on the machine tool assemble relationship is feasible and reliable


2020 ◽  
Vol 142 (8) ◽  
Author(s):  
Esra Yuksel ◽  
Ahmet Semih Erturk ◽  
Erhan Budak

Abstract Machine tool contacts must be represented accurately for reliable prediction of machine behavior. In structural optimization problems, contact constraints are represented as an additional minimization problem based on computational contact mechanics theory. An accurate contact constraint representation is challenging for structural optimization problems: (i) “No penetration” rule dictated by Hertz-Signorini-Moreau (HSM) conditions at contacts is satisfied by varying the contact stiffness during a finite element (FE) solution without control of a user which causes increased contact stiffness “erroneously” to avoid penetration of contacting node pairs in an FE solution; and (ii) the reliability of solutions varies according to the chosen computational contact method. This paper is devoted to the topology optimization of machine tools with contact constraints. A hybrid approach is followed that combines the computational contact problem framework and an obtained stable contact stiffness function (analytically or experimentally). According to the proposed method, the existing optimization problem in FE literature is restated in a reliable form for machine tool applications. To avoid the existing computational challenges and reliability problems, contact forces are directly mapped onto an FE model used in the restated topology optimization problem with the help of proposed method. In this study, the existing and the proposed methods for contact are investigated by means of the solid isotropic material with penalization model (SIMP) algorithm for topology optimization. The effectiveness of the proposed method is demonstrated by comparing the experimental measurements on a prototype machine tool manufactured according to the optimization solutions of the proposed method and those of a conventional machine tool.


2010 ◽  
Vol 97-101 ◽  
pp. 2979-2982
Author(s):  
Chia Lung Chang ◽  
Yung Cheng Wang ◽  
Yi Chieh Wang ◽  
Bean Yin Lee

In order to increase the efficiency of machine tools, the development of machine tools is toward higher speed and accuracy. The higher speed of spindle causes more thermal deformation, which reduces the accuracy of machine tools. In this study, finite element method is used to simulate the thermal deformation of spindle caused by the friction loads between spindle and bearings. The bearing load is estimated by the basic load rating from the bearing vendor and the required life of bearing. The simulated results are compared with experimental measurements to verify the analysis model. The result shows that the stabilized temperature of spindle increases as the speed increaser, while the stabilized displacement of spindle slightly increases as the speed increases.


2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Jianlei Zhang ◽  
Yukun Zeng ◽  
Binil Starly

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.


2010 ◽  
Vol 455 ◽  
pp. 621-624
Author(s):  
X. Li ◽  
Y.Y. Yu

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.


2016 ◽  
Vol 684 ◽  
pp. 421-428 ◽  
Author(s):  
D.S. Vasilega ◽  
M.S. Ostapenko

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.


2016 ◽  
Vol 23 (5) ◽  
pp. 1227-1248 ◽  
Author(s):  
Pankaj U. Zine ◽  
Makarand S Kulkarni ◽  
Arun K. Ray ◽  
Rakesh Chawla

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.


2015 ◽  
Vol 788 ◽  
pp. 318-324
Author(s):  
Egor A. Zverev ◽  
Pavel Tregubchak ◽  
Nikita Vakhrushev ◽  
Stanislav Ptitsyn

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.


Bauingenieur ◽  
2015 ◽  
Vol 90 (05) ◽  
pp. 209-219
Author(s):  
Marcus Ricker ◽  
Frank Häusler

Während das Querkrafttragverhalten von Flachdecken im Bereich von Innenstützen (Durchstanzen) Gegenstand zahlreicher Untersuchungen ist, fehlen für Rand- und Eckstützen durch theoretische und experimentelle Untersuchungen abgesicherte Tragmodelle. Um das Tragverhalten im Bereich von Randstützen näher zu untersuchen, wurde neben vier Durchstanzversuchen eine umfangreiche Parameterstudie mit zwei nichtlinearen Finite-Elemente-Programmen durchgeführt. Dabei stand neben dem Einfluss der bezogenen Ausmitte e/c auf die Tragfähigkeit von Platten mit und ohne Durchstanzbewehrung der Einfluss der Vorspannung im Vordergrund. Es zeigte sich, dass das e/c-Verhältnis unabhängig von der Versagensart einen wesentlichen Einfluss auf die Durchstanztragfähigkeit hat. Eine Vorspannung erhöht die Durchstanztragfähigkeit signifikant bzw. reduziert die erforderliche Durchstanzbewehrungsmenge. Eine Steigerung der Maximaltragfähigkeit gegenüber gleich dicken hochbewehrten Stahlbetonplatten ist jedoch nur in geringem Maße möglich.


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