Design and simulation of component-based manufacturing machine systems

Adolfsson, Josef; Ng, Amos H. C.; Olofsgård, Petter; Moore, Philip; Pu, Junsheng; Wong, Chi Biu

doi:10.1016/s0957-4158(02)00027-2

Cited by 12 publications

(4 citation statements)

References 5 publications

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“…For example, a modular machine design environment for the component-based virtual modeling of automatic machines is proposed in [6]. In this case, mechanical, electronic and software modules are ensemble for the design, visualization, programming, verification and evaluation of the complete system.…”

Section: Literature Reviewmentioning

confidence: 99%

Hardware-in-the-Loop Mechatronic Virtual Prototyping of a high-speed capsule filling machine

Pellicciari

Vergnano

Berselli

2014

2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)

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In the field of pharmaceutical processing, last generation automatic machines autonomously modify their behavior in order to achieve the best manufacturing quality and productivity despite ever changing process requirements. Mechatronics, as a synergistic integration of electro-mechanical equipment and software control logics, enables such adaptive self-optimizing behaviors. Unfortunately, due to the complex interactions between the different technologies, the final performance of these systems can be effectively validated and optimized only on a physical prototype, with limited possibilities to introduce possible design changes. Therefore, in order to enable validation/optimization of high performance machinery during engineering design stage, a mechatronic Virtual Prototyping (VP) technology is strongly needed. Within this context, the present work discusses a mechatronic VP method based on a Hardware-in-the-Loop, hybrid-process simulation approach, where interactive real-time simulations can effectively assess the real final performance under changing process scenarios. In particular, a case study concerning a high-speed automatic machines for pharmaceutical capsules filling is thoroughly discussed.

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Section: Literature Reviewmentioning

confidence: 99%

Hardware-in-the-Loop Mechatronic Virtual Prototyping of a high-speed capsule filling machine

Pellicciari

Vergnano

Berselli

2014

2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)

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“…In [10] a method is proposed to standardize the model set-up within the different simulation tools. Simulation environments specifically designed for machine tools have been described in [11], where flexible bodies are simulated within a multibody simulation environment, as well as in [12], where the Modular Machine Design Environment (MMDE), a suite of highly integrated tools supporting the visualization, design, programming, verification, and evaluation of machine systems is described.…”

Section: Introductionmentioning

confidence: 99%

Mechatronic analysis of a complex transmission chain for performance optimization in a machine tool

Magnani

Rocco

2010

Mechatronics

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“…Hasil dari simulasi ini dapat digunakan untuk mengevaluasi kinerja mesin sebelum mesin tersebut digunakan secara nyata [1]. Selain itu, simulasi juga dapat digunakan untuk mengevaluasi pengaruh perubahan komponen, kecepatan dan daya, sebelum perubahan tersebut dilakukan secara nyata [2][3] [4]. Penelitian ini merancang sebuah simulasi mesin pemipil jagung untuk menganalisis kinerja mesin pemipil jagung, serta melihat faktor-faktor yang mempengaruhi kinerja mesin pemipil jagung.…”

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Penerapan Data Sintetis dalam Simulasi Kinerja Mesin Pemipil Jagung

2023

j.n.a.material.manufaktur.dan.n.a

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Corn sheller machine simulation is a process of modeling the performance of corn sheller machines in a virtual environment using software. The purpose is to predict machine performance, test and improve machine design before mass production, and minimize development cost and time. This study conducted a simulation of corn sheller machine performance comparison using real and synthetic data, by simulating the input of 1000 kg of cobbed corn mass. Synthetic data was created using linear interpolation method using data from previous testing. The evaluation results show that synthetic data can be used as input data for simulation with sufficiently accurate results. The evaluation results show a Mean Absolute Error (MAE) value of 0.20, Mean Squared Error (MSE) value of 0.12, and Root Mean Squared Error (RMSE) value of 0.34 for net and damaged corn shelling results. However, the evaluation results for fuel consumption show an MAE value of 0.09, MSE value of 0.020, and RMSE value of 0.14. The evaluation also shows that the machine RPM affects the net and damaged corn shelling results, processing time, and fuel consumption.

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Design and simulation of component-based manufacturing machine systems

Cited by 12 publications

References 5 publications

Hardware-in-the-Loop Mechatronic Virtual Prototyping of a high-speed capsule filling machine

Hardware-in-the-Loop Mechatronic Virtual Prototyping of a high-speed capsule filling machine

Mechatronic analysis of a complex transmission chain for performance optimization in a machine tool

Penerapan Data Sintetis dalam Simulasi Kinerja Mesin Pemipil Jagung

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