An application of Taguchi method on the high-speed motorized spindle system design

2011 ◽  
Vol 225 (9) ◽  
pp. 2198-2205 ◽  
Author(s):  
C-W Lin
Keyword(s):  
Optimal Design ◽  
Taguchi Method ◽  
Machine Tool ◽  
High Speed ◽  
Signal To Noise Ratio ◽  
Design Stage ◽  
Original Design ◽  
Spindle System ◽  
Design Engineers ◽  
Design Variables

As spindle speeds increase, the variations caused by high-speed effects become more significant. Therefore, in the initial design stage, it is necessary for machine tool design engineers to construct a robust high-speed machine tool that possesses high first-mode natural frequencies (FMNFs) and is insensitive to high operating speeds. In this article, Taguchi method is used to identify the optimal values of design variables (DVs) for a robust high-speed spindle system with respect to the signal-to-noise ratio (SNR) of system FMNF. The L18 orthogonal array covers seven main DVs at three levels each, one main DV at two levels, and the noise factor spindle speeds at six levels. The results show that the new optimal design has improved the SNR of the FMNF by 2.06 dB from the original design; this implies that the quality loss has been reduced to 62 per cent of its original value. The optimal design has been verified by a confirmation numerical experiment.

scholarly journals Optimal design for improving torque performance of permanent magnet motor

2018 ◽  
Vol 7 (2.12) ◽  
pp. 292
Author(s):  
Tae Kyoung Bang ◽  
Kyung Hun Shin ◽  
Jeong In Lee ◽  
Cheol Han ◽  
Sung Kook Cho ◽  
...  
Keyword(s):  
Optimal Design ◽  
Taguchi Method ◽  
Objective Function ◽  
Permanent Magnet ◽  
Optimum Design ◽  
Optimization Process ◽  
Bldc Motor ◽  
Original Design ◽  
Design Point ◽  
Design Variables

Background/Objectives: This paper deals with the optimal design of the BLDC motor considering a rotor structure that is used to electrically drive tools. Generally, electrically driven tools employ the BLDC motor, which should be able to operate in high-speed and high-vibration environments. However, it has the disadvantages of a high torque ripple and significant waveform fluctuation. Therefore, it is necessary to optimize it according to the usage condition.Methods/Statistical analysis: In improving the torque performance, this study performed the optimization process by employing the Taguchi method, which can achieve a robust design based on the design variables. In the optimization process, the objective functions are set using a weighting ratio depending on the importance of the objective function as back EMF, torque performance, and loss. Through the optimization process, the optimal design point that improved the performance of the objective function is derived. The improved design that applied the optimal design point is compared with the original design by using the finite element method (FEM) analysis results.Findings: In this study, the optimum design of the motor according to the design variables and the objective function is derived through the optimum design method using the Taguchi method by adopting the motor for the electrically driven tool as the interior permanent magnet type BLDC motor and the FEM results. Moreover, by comparing the analysis results with the optimized model and the initial model, the optimum design point that satisfies the restriction specification and the rated specification was found.Improvements/Applications: The optimum design point was found by using the Taguchi method and the loss and torque characteristics were improved. 

Multi-Objective Design Problem of Tire Wear and Visualization of Its Pareto Solutions2

2006 ◽  
Vol 34 (3) ◽  
pp. 170-194 ◽  
Author(s):  
M. Koishi ◽  
Z. Shida
Keyword(s):  
Inverse Problems ◽  
Conceptual Design ◽  
Dimensional Space ◽  
Design Stage ◽  
Objective Functions ◽  
Pareto Solutions ◽  
Design Problems ◽  
Multi Objective ◽  
Design Engineers ◽  
Design Variables

Abstract Since tires carry out many functions and many of them have tradeoffs, it is important to find the combination of design variables that satisfy well-balanced performance in conceptual design stage. To find a good design of tires is to solve the multi-objective design problems, i.e., inverse problems. However, due to the lack of suitable solution techniques, such problems are converted into a single-objective optimization problem before being solved. Therefore, it is difficult to find the Pareto solutions of multi-objective design problems of tires. Recently, multi-objective evolutionary algorithms have become popular in many fields to find the Pareto solutions. In this paper, we propose a design procedure to solve multi-objective design problems as the comprehensive solver of inverse problems. At first, a multi-objective genetic algorithm (MOGA) is employed to find the Pareto solutions of tire performance, which are in multi-dimensional space of objective functions. Response surface method is also used to evaluate objective functions in the optimization process and can reduce CPU time dramatically. In addition, a self-organizing map (SOM) proposed by Kohonen is used to map Pareto solutions from high-dimensional objective space onto two-dimensional space. Using SOM, design engineers see easily the Pareto solutions of tire performance and can find suitable design plans. The SOM can be considered as an inverse function that defines the relation between Pareto solutions and design variables. To demonstrate the procedure, tire tread design is conducted. The objective of design is to improve uneven wear and wear life for both the front tire and the rear tire of a passenger car. Wear performance is evaluated by finite element analysis (FEA). Response surface is obtained by the design of experiments and FEA. Using both MOGA and SOM, we obtain a map of Pareto solutions. We can find suitable design plans that satisfy well-balanced performance on the map called “multi-performance map.” It helps tire design engineers to make their decision in conceptual design stage.

Finite Element Analysis for Static Behaviour of the CNC Turning Machine Spindle

2014 ◽  
Vol 555 ◽  
pp. 555-560 ◽  
Author(s):  
Doru Bardac ◽  
Constantin Dogariu
Keyword(s):  
Finite Element ◽  
Machine Tool ◽  
High Speed ◽  
High Performance ◽  
Element Model ◽  
Design Activity ◽  
Element Analysis ◽  
Spindle System ◽  
Machine Spindle ◽  
Main Spindle

This paper presents a method to investigate the characteristics of a turning high-speed spindle system. The geometric quality of high-precision parts is highly dependent on the performance of the entire machining system,especially by the main spindle behaviour. The machine tool main spindle units is focused on direct driven spindle units for high-speed and high performance cutting. This paper analyzes the static behavior for a turning machine spindle and presents some activities to improve the CAD model for such complex systems. The proposed models take into account the spindle with the detailed bearing system. The analysis was performed during the design activity and was based on Finite Elements Method. Starting from the 3D designed model, using FEM done by means of ANSYS analysis the structure stiffness was evaluated and, by consequence, the influence on the machine tool precision. The aim of this paper is to develop a finite element model of the machine spindle system and to use this method for design optimization. The 3D model was designed using the SolidWorks CAD software. The static analysis was completed by modal, harmonic response and thermal analysis, but their results will be presented in other papers.

Optimization Design on Headstock of Shape High-Speed Vertical Machining Center

2011 ◽  
Vol 121-126 ◽  
pp. 1023-1027
Author(s):  
Chun Zhang ◽  
Zhi Yuan Li
Keyword(s):  
Optimal Design ◽  
Response Surface ◽  
High Speed ◽  
Optimization Design ◽  
Parametric Model ◽  
Machining Center ◽  
Design Variables ◽  
Test Technology ◽  
Design Result ◽  
Ansys Workbench

Optimization design was a technology that searched and determined the optimal design. Parametric model of headstock was established in Pro/E, and the parametric model was imported into the ANSYS Workbench. Then multi-objective optimization design was carried out in DesignXplorer module based on test technology, response surface that the combinations of design variables aimed at the objective function was obtained, the situation which design variables changes impacted on performance parameters from the response surface was viewed, a relatively ideal optimal design result was chosen. The mass of improved headstock was reduced, under the condition that performance in all aspects was not diminished.

Vehicle Handling Dynamics Optimization Based in Passive Suspension Settings in Target Cascading Framework

2014 ◽  
Author(s):  
Juan C. Blanco ◽  
Luis E. Muñoz
Keyword(s):  
Optimal Design ◽  
Optimization Problem ◽  
Suspension System ◽  
Dynamics Simulation ◽  
Design Stage ◽  
Partial Geometry ◽  
Embodiment Design ◽  
Design Variables ◽  
Target Cascading

The vehicle optimal design is a multi-objective multi-domain optimization problem. Each design aspect must be analyzed by taking into account the interactions present with other design aspects. Given the size and complexity of the problem, the application of global optimization methodologies is not suitable; hierarchical problem decomposition is beneficial for the problem analysis. This paper studies the handling dynamics optimization problem as a sub-problem of the vehicle optimal design. This sub-problem is an important part of the overall vehicle design decomposition. It is proposed that the embodiment design stage can be performed in an optimal viewpoint with the application of the analytical target cascading (ATC) optimization strategy. It is also proposed that the design variables should have sufficient physical significance, but also give the overall design enough design degrees of freedom. In this way, other optimization sub-problems can be managed with a reduced variable redundancy and sub-problem couplings. Given that the ATC strategy is an objective-driven methodology, it is proposed that the objectives of the handling dynamics, which is a sub-problem in the general ATC problem, can be defined from a Pareto optimal set at a higher optimization level. This optimal generation of objectives would lead to an optimal solution as seen at the upper-level hierarchy. The use of a lumped mass handling dynamics model is proposed in order to manage an efficient optimization process based in handling dynamics simulations. This model contains detailed information of the tire properties modeled by the Pacejka tire model, as well as linear characteristics of the suspension system. The performance of this model is verified with a complete multi-body simulation program such as ADAMS/car. The handling optimization problem is presented including the proposed design variables, the handling dynamics simulation model and a case study in which a double wishbone suspension system of an off-road vehicle is analyzed. In the case study, the handling optimization problem is solved by taking into account couplings with the suspension kinematics optimization problem. The solution of this coupled problem leads to the partial geometry definition of the suspension system mechanism.

Trajectory Pattern Based Simultaneous Kinematic and Dynamic Optimal Design of High Speed Manipulators

1996 ◽  
Author(s):  
M. Tai ◽  
J. Rastegar
Keyword(s):  
Optimal Design ◽  
High Speed ◽  
High Performance ◽  
Current Approach ◽  
Operating Conditions ◽  
Control Problems ◽  
Structure And Motion ◽  
Design Variables ◽  
Trajectory Pattern ◽  
And Control

Abstract An integrated structure and motion pattern specific design approach is proposed for optimal design of high speed and accuracy computer controlled machines including robots. The approach is based on the Trajectory Pattern Method (TPM). The current approach to the design of such machines is to assume that the machine will be required to perform more or less any arbitrary and often unrealistic tasks. This assumption nearly always leads to designs based on the worst operating conditions. The proposed trajectory pattern based design methodology presented in this paper stems from a fundamentally new design philosophy. The philosophy behind the proposed approach is that machines in general and ultra-high performance machines in particular must only be designed to perform a class or classes of motions effectively. And that trajectory patterns, i.e., classes of parametric trajectories, exist with which high speed motions can be synthesized with minimal ensuing vibration and control problems. In the proposed approach, given the kinematic structure of the machine, its kinematic and dynamic parameters are optimized simultaneously with the parameters that describe a selected trajectory pattern. The controller parameters may also be included as design variables. In the present study, the optimality criterion employed is based on minimizing the higher harmonic portion of the actuating forces (torques) required for performing the selected class(es) of motion patterns. Trajectories that do not demand high frequency actuating torque harmonics are desirable since they reduce vibration and control problems in high performance systems and reduce settling time. Examples of the application of the proposed approach are presented.

Finite Element Analysis and Optimization of Structure for Large Blanking Machine Equipment during High-Speed Blanking

2011 ◽  
Vol 697-698 ◽  
pp. 176-181
Author(s):  
Shu Bo Xu ◽  
K.K. Sun ◽  
Cai Nian Jing ◽  
Guo Cheng Ren
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Optimal Design ◽  
High Speed ◽  
Dynamic Performance ◽  
Design Stage ◽  
Beam Structure ◽  
Element Analysis ◽  
Blanking Process ◽  
Dynamic Performance Analysis

This paper reviews the background and significance to investigate the high-speed speed blanking process modeling simulation and optimization of large blanking machine equipment for CNC uncoiling, leveling and shearing line. And a powerful tool has been providing to of heavy machinery optimal design specifications. The finite element model of beam structure has been established by using a three-dimensional modeling software UG NX4.0 CAD and finite element analysis software ANSYS. Then the static and dynamic characteristics results of the whole beam structure have been simulated. On the basis of analysis results, the optimal static and dynamic performance of square cross-section of the beam structure has been obtained. Drawings at the design stage of large blanking machine equipment for NC uncoiling, leveling and shearing line, the use of finite element theory and modal analysis theory, the structure of the blanking machine static and dynamic performance analysis and prediction using optimal design method for optimization, the new machine to improve job performance, improve processing accuracy, shorten the development cycle and enhance the competitiveness of products is very important.

Optimal Design of a High Speed SPM Motor for Machine Tool Applications

2014 ◽  
Vol 50 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Chang-Chou Hwang ◽  
San-Shan Hung ◽  
Cheng-Tsung Liu ◽  
Shih-Ping Cheng
Keyword(s):  
Optimal Design ◽  
Machine Tool ◽  
High Speed

Optimization of Parameter for HSS Tool Wear by Using Taguchi Method and Finite Element Method

2013 ◽  
Vol 315 ◽  
pp. 151-155
Author(s):  
M.R. Ibrahim ◽  
A.R. Abd. Kadir ◽  
M.S. Omar ◽  
S. Sulaiman ◽  
M.H. Osman
Keyword(s):  
Tool Wear ◽  
Taguchi Method ◽  
Surface Treatment ◽  
High Speed ◽  
Flank Wear ◽  
Simulation Analysis ◽  
Signal To Noise Ratio ◽  
Cutting Speed ◽  
High Speed Steel ◽  
Coated Surface

This paper presents the combination between the simulation analysis of FEM (DFORM 3D) and Taguchi method approach. The Taguchi method was used to find the optimize parameter design contribute to Flank wear. The parameters were evaluated are coated surface treatment, cutting speed and feed rate. The Usuis model carried out to measure the flank wear size. Furthermore, ANOVA analysis was used out to identify the influence factors contribute to tool wear in the signal to noise ratio. The experiments were conducted on AL6061 by using High Speed Steel Tool (HSS) in face milling cutting. It shown that, the coated surface treatment is the most significant parameter which can reduce the tool wear value.

Using the direct cutting paths approach on aluminum alloy cone frustum part for evaluating a five-axis machine tool with Taguchi method

2017 ◽  
Vol 231 (5) ◽  
pp. 881-888 ◽  
Author(s):  
Han-Jui Chang ◽  
Shang-Liang Chen ◽  
Po-Yi Lee
Keyword(s):  
Taguchi Method ◽  
Machine Tool ◽  
Machine Tools ◽  
Complex Analysis ◽  
Performance Test ◽  
Signal To Noise Ratio ◽  
International Standard Organization ◽  
Machining Performance ◽  
Direct Cutting ◽  
Five Axis

It is difficult to compare five-axis machine tools complex analysis against independent motion of multi-type machines; more specifically, there has been no breakthrough involving the interaction effect factors from cutting analysis. Therefore, the defining and quantifying of data are important in assessing the overall performance of five-axis machine tools, and allow for the evaluation of each subsequent interaction motion analysis. Among various cutting test models, the machining of a cone frustum as specified in National Aerospace Standard 979 and International Standard Organization 10791-7 is widely accepted as a performance test standard for five-axis machining centers. Although it gives a demonstration of the machine’s machining performance, it is generally difficult to identify the overall effects of kinematic interaction within the profile of the finished workpiece. This is new approach to a previously defined 10 direct cutting paths method to evaluate the performance of each cone frustum motion, and it is not limited to only evaluating single direction or displacement on a five-axis machine tool. Among the 10 cutting paths, four of them are real five-axis cutting and the remaining paths are non-real five-axis cutting. This allowed the test of four to five mixed external forces at the same time, which the instrument is not able to measure. This article further proposes to calculate the factorial effect of interaction, based on the Taguchi method signal-to-noise ratio, mechanical advantage, and Variables separable model, which allows for the comparison of the performance of different five-axis machine tool types.

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