Modelling of Computer-Assisted Machine Tool Volumetric Verification Process

Aguado, Sergio; Velázquez, Jesús; Samper, David

doi:10.2507/ijsimm15(3)9.353

Cited by 6 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2. [24] to [26]. The software tool was conceived in the Delphi environment which uses the Object Pascal programming language.…”

Section: Methods Descriptionmentioning

confidence: 99%

Integrating a New Software Tool Used for Tool Path Generation in the Numerical Simulation of Incremental Forming Processes

Nasulea¹,

Oancea²

2018

SV-JME

View full text Add to dashboard Cite

In the incremental sheet forming simulation, finite element modelling typically was used to anticipate material behaviour, predict deformation forces, thickness reduction or to identify other information. Because the forming tool motions are difficult to be implemented in finite element method (FEM) software systems, and because of the large number of points that describe the tool path, in order to reduce data preparation time, this paper presents the implementation of a new software tool conceived by the authors in the process of the numerical simulation of incremental sheet forming. The software tool uses a CNC file in G-code format to reveal the interpolation point coordinates of the tool motions and the positioning time in a specific ANSYS format. Usually, a tool path for an incremental sheet forming process consists of thousands of interpolation points and is very difficult and time-consuming to implement manually into a FEM software system. The new software tool solves this issue, at least for ANSYS software, being swift and easy to use. The paper also presents how the software tool is integrated and validated in a case study of an incremental sheet forming process simulation concerning different part configurations.

show abstract

“…2. [24] to [26]. The software tool was conceived in the Delphi environment which uses the Object Pascal programming language.…”

Section: Methods Descriptionmentioning

confidence: 99%

Integrating a New Software Tool Used for Tool Path Generation in the Numerical Simulation of Incremental Forming Processes

Nasulea¹,

Oancea²

2018

SV-JME

View full text Add to dashboard Cite

show abstract

“…However, random errors, such as LT measurement noise, cannot be estimated and compensated by software. However, random errors, such as LT measurement noise, cannot be compensated but can be reduced by the appropriate location of the measurement system, so improving verification results [3].…”

Section: Introductionmentioning

confidence: 99%

Configuration Optimisation of Laser Tracker Location on Verification Process

et al. 2020

View full text Add to dashboard Cite

Machine tools are verified and compensated periodically to improve accuracy. The main aim of machine tool verification is to reduce the influence of quasi-static errors, especially geometric errors. As these errors show systematic behavior, their influence can be compensated. However, verification itself is influenced by random uncertainty sources that are usually not considered but affect the results. Within these uncertainty sources, laser tracker measurement noise is a random error that should not be ignored and can be reduced through adequate location of the equipment. This paper presents an algorithm able to analyse the influence of laser tracker location based on nonlinear optimisation, taking into consideration its specifications and machine tool characteristics. The developed algorithm uses the Monte Carlo method to provide a zone around the machine tool where the measurement system should be located in order to improve verification results. To achieve this aim, different parameters were defined, such as the number of tests carried out, and the number and distribution of points, and their influence on the error due to the laser tracker location analysed.

show abstract

“…The problems of joint-programming in operations management involve the need of making decisions related, among others, with the design of joint production and preventive maintenance (PM) programs. Management approaches have traditionally addressed these areas separately, which has been proven to lead to suboptimal solutions [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Joint Programming of Production-Maintenance Tasks: a Simulated Annealing-Based Method

Cazañas¹,

Sobrino²,

Cagáňová³

et al. 2019

Int. j. simul. model.

View full text Add to dashboard Cite

Integrated production-maintenance programs are an attractive area given their practical benefits and complexity. This has motivated the development of approximate methods providing good solutions in a reasonable time. This paper introduces a heuristic method for the joint programming of productionpreventive maintenance tasks in an environment of identical parallel machines minimizing the makespan. Unlike other proposals, this assumes the time between interventions is unknown, and that the start time of these constitutes a decision variable. It also considers that not all jobs may be available to begin processing at the beginning of periods. The heuristic possesses two phases; the first generates an initial solution based on the LPT dispatch rule with a slight modification allowing it to consider the randomness of equipment failures and their impact on the task's execution time. A dispatch rule called rj-LPT is proposed complying with one of the heuristics' steps. The second phase is based on the Simulated Annealing approach that helps refining the initial solution found.

show abstract

Modelling of Computer-Assisted Machine Tool Volumetric Verification Process

Cited by 6 publications

References 26 publications

Integrating a New Software Tool Used for Tool Path Generation in the Numerical Simulation of Incremental Forming Processes

Integrating a New Software Tool Used for Tool Path Generation in the Numerical Simulation of Incremental Forming Processes

Configuration Optimisation of Laser Tracker Location on Verification Process

Joint Programming of Production-Maintenance Tasks: a Simulated Annealing-Based Method

Contact Info

Product

Resources

About