Influence of the machine tool compliance on the dynamic performance of the servo drives

Ansoategui, Igor; Campa, Francisco J.; López, C.; Díez, Mikel

doi:10.1007/s00170-016-9616-y

Cited by 11 publications

(7 citation statements)

References 15 publications

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“…The methodology used for this paper corresponds to drives that as a last element in the chain of transmission have a table, another case is that of the drives that in addition to the table move a structural element, such as a column. This structural element adds flexibility to the system, and its influences are developed in the paper by Ansoategui I et al "Influence of the machine tool compliance on the dynamic performance of the servodrives" (2016) [25].…”

Section: 33discussionmentioning

confidence: 99%

Mechatronics of a ball screw drive using an N degrees of freedom dynamic model

Ansoategui

Campa

2017

Int J Adv Manuf Technol

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High performance position control in machine tools can only be achieved modelling the dynamic behavior of the mechatronic system composed by the motor, transmission and control during the design stage. In this work, a complex analytical model of a ball screw drive is presented and integrated in a mechatronic model of the actuator to predict the dynamic behaviour and analyze the impact of each component of the transmission. First, a simple 2 degrees of freedom model is presented, and is analysis sets the basis for the development of a more complex model of several degrees of freedom, whose resulting fundamental transfer functions are represented using natural and modal coordinates. The modeling in modal coordinates carries a reduction of the transfer function that reduces computational work. The two models are compared and experimentally validated in time and frequency domain by means of experimental tests carried out on a specifically developed ball screw drive test bench. Keywords:Ball screw drive Machine tool dynamics Mechatronics Nomenclature m, J Mass, inertia moment c Viscous damping k Stiffness ωi i-thmodal frequency φij i-thdof component of the j-th eigenvector x,θ Linear, angular position in natural coordinates δ Positionin modal coordinates ξi Damping coefficient of the i-th mode f, τ Force, torque in natural coordinates g Force in modal coordinates Kv Proportional gain of the position loop Kp Proportional gain of the velocity loop Ti Integral time of the velocity loop

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Section: 33discussionmentioning

confidence: 99%

Mechatronics of a ball screw drive using an N degrees of freedom dynamic model

Ansoategui

Campa

2017

Int J Adv Manuf Technol

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“…(1) Artificial Neural Network (ANN) architecture [31,34] Compared with traditional complex modeling techniques, neural network systems provide a more advanced way to analyze data through training. A neural network architecture is often used in prediction, control, system identification, model building, medicine, and computer vision systems.…”

Section: Prediction Kernel Function Developmentmentioning

confidence: 99%

“…There are two main practical problems that engineers face in the manufacturing process: to determine the values of the process parameters that will yield the desired product quality [1,2] and to maximize manufacturing system performance using the available resources [3,4]. With respect to the latter, industry nowadays has entered into a phase that focuses on customized, small batches and high parametric variance production, pursued alongside traditional mass-production.…”

Section: Introductionmentioning

confidence: 99%

An integrated curvature surface inspection and prediction system for 5-axis synchronization machining

Kuo

Weng

2021

Int J Adv Manuf Technol

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There is an urgent demand for free form products in industry at the present time because of their superior appearance and the wide variety of functions they perform. Five-axis high-speed CNC machining technology has developed to satisfy this demand, but further improvement in surface quality metric inspection technology is the big challenge it now faces. In this study, the effects of jerk on the performance of five-axis synchronous high-speed CNC ball nose end mills on a freeform turbine mold were investigated. The relationships of characteristics of the images of 14 jerk-cluster finished workpieces with different jerk setting values were established, allowing surface texture features to be analyzed and surface roughness predicted. In addition, machine learning methods were integrated with the surface feature analysis to construct a virtual machining module that acts as a performance prediction system, merging the virtual machine tool functions, surface texture processor and AI roughness prediction processor. Using the geometric information of the workpiece, cutting parameters and machine tool parameters as inputs, product performance metrics combining surface roughness and machining time can be predicted as outputs of the system. The integrated system provides users with a way to evaluate manufacturing performance before performing actual operations and to reduce test time for cutting parameter development. The model is suitable for complex surface finishes as well as for the production of small batches with high parametric variance. In addition, the partial set of image processing and roughness prediction modules can be used alone as an effective intelligent surface quality inspection system.

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“…The group of Campa and Zulaika make a great contribution to promoting machine tool performance on preventing chatter vibrations of large horizontal lathes [89], on the condition of high productivity and surface finish with greater stability. The dynamic performance of the servo drives is also analyzed by Ansoategui [90]. Additionally, lightweight milling machines are designed by Zulaika [91] in order to obtain targeted productivity with minimum structure mass as well as energy consumption, which has been applied in the redesign of actual machine tools.…”

Section: Lightweight Techniques Of Structural Componentsmentioning

confidence: 99%

The Analysis of Key Technologies for Sustainable Machine Tools Design

Feng

Shi

2020

Applied Sciences

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Machine tools as indispensable tools for manufacturing products are typical high-energy, high-carbon manufacturing systems due to their larger mass, longer life cycles and huge resources and energy consumption. The current research trend of sustainable machine tools aims to reduce cost, energy consumption and increase sustainability without compromising their functionality, usability, productivity, accuracy, etc. However, there is a lack of systematic reviews about what are the key technologies for sustainable machine tools design. Thus, a comprehensive literature review of machine tool design for sustainability is needed in order to make clear how to design and evaluate sustainable machine tools from the viewpoint of life cycle sustainability analysis. The aim of this paper is to review the sustainable design and assessment aspects of machine tool design from partial goals to integrated aims according to whole sustainability dimensions such as the environment, economy and society, as well as involving key techniques in different life cycle stages. Recent research and study on improving directly or indirectly sustainability performance of machine tools according to focus points could be summarized as: design optimization of components such as lightweight using topology and bionic methods; structure design with modular design and layout; reducing cutting fluids and lubricant oil by employing minimum quantity lubrication, dry and cryogenic machining; reducing energy consumption; waste reduction by reusing, remanufacturing and recycling; sustainability assessment i.e., energy model, life cycle cost and life cycle social benefit. This paper assists designers and manufacturers to improve sustainability of machine tools by specific optimization measures in their activities.

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Influence of the machine tool compliance on the dynamic performance of the servo drives

Cited by 11 publications

References 15 publications

Mechatronics of a ball screw drive using an N degrees of freedom dynamic model

Mechatronics of a ball screw drive using an N degrees of freedom dynamic model

An integrated curvature surface inspection and prediction system for 5-axis synchronization machining

The Analysis of Key Technologies for Sustainable Machine Tools Design

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