scholarly journals Acceleration-based disturbance compensation for elastic rack-and-pinion drives

2021 ◽  
Author(s):  
Felix Brenner ◽  
Armin Lechler ◽  
Alexander Verl
Keyword(s):  
Manufacturing Industry ◽  
Position Control ◽  
Disturbance Compensation ◽  
Typical Application ◽  
Dynamic Disturbance ◽  
Industrial Drive ◽  
Output Side ◽  
Modern Manufacturing ◽  
Milling Forces ◽  
Large Machine

AbstractRack-and-pinion drives are mainly used for large machine tools and are often operated with indirect position control. Due to the lack of state information on the output side, this results in reduced accuracy regarding the table position. In addition, the system can only react inadequately to disturbances outside the control loop, meaning that often insufficient results can be achieved in typical application scenarios such as milling. To meet the increasing dynamic and accuracy requirements of the modern manufacturing industry, this paper presents a highly dynamic acceleration-based disturbance compensation method. For this purpose, the table acceleration is estimated using a dynamical model of the drive train and compared to the signal from an additional acceleration sensor attached to the machine table. Based on the resulting difference, an additional compensation torque is provided, which suppresses the disturbance in counterphase. The approach is tested experimentally on an open control platform with industrial drive components and the behavior is investigated based on compliance frequency responses and externally applied milling forces. At the same time, a standardized parametrization methodology is developed and the robustness is evaluated by varying table masses. In summary, a considerable improvement of the dynamic disturbance behavior can be achieved compared to the conventional system without compensator.

Störgrößenkompensation für Vorschubantriebe/Disturbance compensation for feed drives

2021 ◽  
Vol 111 (01-02) ◽  
pp. 82-87
Author(s):  
Felix Brenner ◽  
Armin Lechler ◽  
Alexander Verl
Keyword(s):  
Machine Tools ◽  
Position Control ◽  
Dynamic Compliance ◽  
High Accuracy ◽  
Considerable Improvement ◽  
Disturbance Compensation ◽  
Positioning Accuracy ◽  
Feed Drives ◽  
Modern Machine ◽  
Large Machine

Zahnstange-Ritzel-Antriebe werden überwiegend bei großen Werkzeugmaschinen eingesetzt und häufig mit indirekter Lageregelung betrieben. Hieraus resultiert eine geringe Positioniergenauigkeit und ein unzureichendes dynamisches Nachgiebigkeitsverhalten. Um den hohen Genauigkeitsanforderungen moderner Werkzeugmaschinen gerecht zu werden, wird in diesem Beitrag eine beschleunigungsbasierte Störgrößenkompensation vorgestellt. Experimentelle Ergebnisse belegen eine Verbesserung des Störverhaltens.   Rack-and-pinion drives are mainly used in large machine tools and controlled by indirect position control. This leads to low positioning accuracy as well as an insufficient dynamic compliance. To meet the high accuracy requirements of modern machine tools, this paper presents an acceleration-based disturbance compensation. Experimental results prove a considerable improvement of the disturbance behavior.

Generating STEP-NC Files for a Circuit Board Milling System

2012 ◽  
Vol 430-432 ◽  
pp. 1686-1691
Author(s):  
Ke Wang ◽  
Cheng Rui Zhang ◽  
Ri Liang Liu ◽  
Xiang Zhi Zhang
Keyword(s):  
Process Planning ◽  
Manufacturing Industry ◽  
Circuit Board ◽  
Machining Features ◽  
Tool Paths ◽  
Face Contour ◽  
Modern Manufacturing ◽  
Machining Operations ◽  
Parallel Strategy

Since G-codes have been proved limiting the modern manufacturing industry, ISO14649 was put forward. This paper presents a solution to generate ISO14649 files for circuit board milling. The process planning is given, and all the processes needed are contained in the ISO14649 file. Features and machining operations are identified for each process, such as the closed pocket having a “General_closed_profile” attribute and bosses, round holes, slots, the planar face, contour parallel strategy, contour bidirectional strategy and etc. The scenario of one feature with multi tools are put forward to promote the milling efficiency and an entity “Combined_Machining_workingsteps” is proposed. Besides, some other extensions are made, such as entities for representing circuit geometries in machining features. Algorithms for tool paths generation are demonstrated for contour parallel milling and bidirectional milling, where a new algorithm based on pixels is used. The new algorithm can be used in other functions such as detecting uncut regions.

Prediction and Compensation of Dynamic Errors for Coordinate Measuring Machines

2002 ◽  
Vol 124 (3) ◽  
pp. 509-514 ◽  
Author(s):  
Chensong Dong ◽  
Chuck Zhang ◽  
Ben Wang ◽  
Guoxiong Zhang
Keyword(s):  
Neural Networks ◽  
Experimental Study ◽  
Theoretical Analysis ◽  
Manufacturing Industry ◽  
Systematic Approach ◽  
Laser Interferometer ◽  
Coordinate Measuring Machines ◽  
Touch Trigger Probe ◽  
Dynamic Errors ◽  
Modern Manufacturing

Coordinate measuring machines (CMMs) are already widely utilized as measuring tools in the modern manufacturing industry. Rapidly approaching now is the trend for next-generation CMMs. However, the increases in measuring velocity of CMM applications are limited by dynamic errors that occur in CMMs. In this paper, a systematic approach for modeling the dynamic errors of a touch-trigger probe CMM is developed through theoretical analysis and experimental study. An overall analysis of the dynamic errors of CMMs is conducted, with weak components of the CMM identified with a laser interferometer. The probing process, as conducted with a touch-trigger probe, is analyzed. The dynamic errors are measured, modeled, and predicted using neural networks. The results indicate that, using this mode, it is possible to compensate for the dynamic errors of CMMs.

scholarly journals A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Guifang Liu ◽  
Huaiqian Bao ◽  
Baokun Han
Keyword(s):  
Fault Diagnosis ◽  
Manufacturing Industry ◽  
Activation Function ◽  
Data Driven ◽  
Training Process ◽  
Training Set ◽  
Analysis Techniques ◽  
Stacked Autoencoders ◽  
Modern Manufacturing ◽  
Machinery Fault Diagnosis

Machinery fault diagnosis is pretty vital in modern manufacturing industry since an early detection can avoid some dangerous situations. Among various diagnosis methods, data-driven approaches are gaining popularity with the widespread development of data analysis techniques. In this research, an effective deep learning method known as stacked autoencoders (SAEs) is proposed to solve gearbox fault diagnosis. The proposed method can directly extract salient features from frequency-domain signals and eliminate the exhausted use of handcrafted features. Furthermore, to reduce the overfitting problem in training process and improve the performance for small training set, dropout technique and ReLU activation function are introduced into SAEs. Two gearbox datasets are employed to conform the effectiveness of the proposed method; the result indicates that the proposed method can not only achieve significant improvement but also is superior to the raw SAEs and some other traditional methods.

scholarly journals DESAIN SISTEM KENDALI UMPAN BALIK STATE PADA KASUS KONTINYU UNTUK MEJA KERJA CNC

2019 ◽  
Vol 20 (2) ◽  
pp. 32
Author(s):  
Fakhruddin Mangkusasmito ◽  
Tsani Hendro Nugroho
Keyword(s):  
Control System ◽  
Rise Time ◽  
Manufacturing Industry ◽  
Position Control ◽  
Control Method ◽  
Tracking System ◽  
Settling Time ◽  
Numerical Control ◽  
Pole Placement ◽  
Work Table

Fakhruddin Mangkusasmito, Tsani Hendro Nugroho in this paper explain that One of the important control system in the manufacturing industry is the position control. Mainly in the Computer Numerical Control (CNC) machine, work-table motion control system is used to regulate work-table movements when the machine process a workpieces on it. On standard machines, work-table movements are two axes (X-Y), which is driven by a motor and lead-screw. The discussion in this research only focus on one axis assuming that the systems on both axes are the same and independent. In this research, MATLAB is used to describe the behaviour of the system and also to design appropriate control system in continuos system using state feedback linear controller such as pole placement , tracking system, full order compensator and reduced order compensator. The goal is to obtain a fast response with a rapid rise time and settling time to a step command, while not exceeding an overshoot of 5%. The specification are than a percent overshoot equal to1%, 0,05s settling time and 0,03s rise time. The performance of each control methods are simulated and analyzed to decide the best suit control method for the systems with such criteria. And the result verify that using tracking system controller method achieve such specification with 0% overshoot, 0,04s settling time and 0,028s rise time.

Researched on the Technology of Machining Simulation

2014 ◽  
Vol 1039 ◽  
pp. 390-396
Author(s):  
Bao Rui Li ◽  
Wen Hua Zhu ◽  
Benoit Eynard ◽  
Matthieu Bricogne
Keyword(s):  
Machine Tool ◽  
Manufacturing Industry ◽  
Production Costs ◽  
Machining Process ◽  
Simulation Test ◽  
Processing Efficiency ◽  
Simulation Engine ◽  
Blade Machining ◽  
Modern Manufacturing ◽  
Simulation Systems

The machine tool machining is a major processing method in manufacturing industry. Achieved the simulation for the machining process will greatly improved the processing efficiency, perfected the processing quality and reduced the production costs. It has important significance for the development of modern manufacturing industry. This paper studied the constitute of the processing verification and simulation systems. And focuses on the principle of the machine tool system driven by the common simulation engine and driven by the virtual NC controller. Finally, the simulation system was built and use the blade machining as an example to the simulation test and verify.

Cutter Optimal Selection of CAPP System Facing to the Modern Manufacture

2006 ◽  
Vol 532-533 ◽  
pp. 729-732
Author(s):  
Lan Li ◽  
En Fu Liu ◽  
Qing Su Jin
Keyword(s):  
Manufacturing Industry ◽  
Metal Cutting ◽  
Cutting Process ◽  
Machining Process ◽  
Optimal Selection ◽  
Important Method ◽  
Modern Manufacturing ◽  
Fuzzy Assessment ◽  
Resource And Environment ◽  
Selection Of

The modern manufacturing industry requires the cutting process to reduce the quantity of pollutants, to ensure the product quality, to make good use of the resource and energy, and to satisfy the need of productivity and economy at the same time. The cutter reasonable selection is one important method of improving cutting capability. Therefore, it can solve efficiently the new problem in machining process to think of synthetic effect with quality, economy, resource and environment at the same time. Furthermore, because the process in metal cutting is variable and the influence of most factors can not be confirmed, the fuzzy assessment based on fuzzy integrate can select more justified cutter in cutting process.

scholarly journals Reliability Assessment of CNC Machining Center Based on Weibull Neural Network

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Zhaojun Yang ◽  
Chao Chen ◽  
Jili Wang ◽  
Guofa Li
Keyword(s):  
Neural Network ◽  
Manufacturing Industry ◽  
Reliability Assessment ◽  
Cnc Machining ◽  
Reliability Engineering ◽  
Machining Center ◽  
The Hierarchical Structure ◽  
Life Distributions ◽  
Modern Manufacturing ◽  
Hidden Layer

CNC machining centers, as the key device in modern manufacturing industry, are complicated electrohydraulic products. The reliability is the most important index of CNC machining centers. However, simple life distributions hardly reflect the true law of complex system reliability with many kinds of failure mechanisms. Due to Weibull model’s versatility and relative simplicity and artificial neural networks’ (ANNs) high capability of approximating, they are widely used in reliability engineering and elsewhere. Considering the advantages of these two models, this paper defined a novel model: Weibull neural network (WNN). WNN inherits the hierarchical structure from ANNs which include three layers, namely, input layer, hidden layer, and output layer. Based on more than 3000 h field test data of CNC machining centers, WNN has been successfully applied in comprehensive operation data analysis. The results show that WNN has good approximation ability and generalization performance in reliability assessment of CNC machining centers.

Aluminium Alloy Welding the Weld Stress Deformation and Control

2014 ◽  
Vol 577 ◽  
pp. 86-89
Author(s):  
Qing Guo Meng ◽  
Ying Yin ◽  
Xiao Jun Guo
Keyword(s):  
Manufacturing Industry ◽  
Rapid Development ◽  
Welding Deformation ◽  
Operating Environment ◽  
Deformation Control ◽  
Welding Technology ◽  
Welding Automation ◽  
Modern Manufacturing ◽  
Automation Technology ◽  
And Control

Welding technology, as one of the process of manufacturing material in the permanent link, are already widely used in various kinds of aerospace ground launch equipment. Modern manufacturing industry is in rapid development phase, the welding automation is inevitable trend of production, which not only can greatly improve the efficiency of welding, but also what more important is to ensure the welding quality, thus to improve the operating environment. Modern welding is developing in the direction of mechanization, automation, intelligence, robot welding has become an important symbol of welding automation technology modernization. This paper focuses on regularity and influence of welding deformation, the welding deformation and deformation control, control and eliminate problems for research.

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