Optimization of Hybrid Manufacturing for Surface Quality, Material Consumption and Productivity Improvement

Grguraš, Damir; Kramar, Davorin

doi:10.5545/sv-jme.2017.4396

Cited by 17 publications

(13 citation statements)

References 9 publications

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“…Production time is important to be competitive, so companies need to look for time savings in production. Grguraš and Kramar [21] applied fused deposition modelling to achieve shorter production time when they using bigger nozzle size instead of standard nozzle size.…”

Section: Simulation and Production Systemsmentioning

confidence: 99%

Using Maturity Model and Discrete-Event Simulation for Industry 4.0 Implementation

Gajšek¹,

Marolt²,

Rupnik³

et al. 2019

Int. j. simul. model.

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Production environments worldwide transform themselves in order to take the best advantage of the Industry 4.0 guidelines. Automation, data exchange, cyber-physical systems, the IoT, cloud and cognitive computing represent a step in the unknown to these companies, associated with high risks and also the need to restructure their culture. If the execution route is not clearly defined and understandable to all levels of employees, the renovation is too long. The maturity models can be used for the assessment of current Industry 4.0 maturity level, but the practical use of scores and assessed level often requires the involvement of consulting firms. Companies can avoid the involvement of consulting companies with the use of complementary tools. In this paper, we propose a new methodology that combines the Industry 4.0 maturity model and discrete-event simulation tools in the case of steel production company with the possibility of generalization. The combination of these tools in the first step helps the company to assess its current level of maturity for Industry 4.0, and in the second step helps to consider about strengths and weaknesses of possible scenarios for transition to a higher level of maturity.

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Section: Simulation and Production Systemsmentioning

confidence: 99%

Using Maturity Model and Discrete-Event Simulation for Industry 4.0 Implementation

Gajšek¹,

Marolt²,

Rupnik³

et al. 2019

Int. j. simul. model.

View full text Add to dashboard Cite

show abstract

“…Mixture design is an experimental design strategy for mixing multiple components to create a compound to identify the effect of individual components on the reaction variables and to derive the optimum mixing ratio [24][25][26][27]. Let xi represent the ratio of the n-th component in a compound consisting of q components.…”

Section: Mixture Designmentioning

confidence: 99%

Optimization of Accelerator Mixing Ratio for EPDM Rubber Grommet to Improve Mountability Using Mixture Design

Kim

Kim²,

Jeon

2019

Applied Sciences

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A grommet, made of ethylene propylene diene methylene (EPDM) rubber, is an integral part used for fixing and protecting the wire inserted from the outside to the inside of vehicles. Rubber compounds exhibit various mechanical properties and vulcanization characteristics depending on the accelerator mixing ratio. These mechanical properties affect the insertion and detachment forces when the grommet is manufactured and fixed to the vehicle body. In this study, we experimentally analyzed the changes in the properties of EPDM rubber depending on the vulcanization accelerator to improve the mounting performance of the grommet, and subsequently derived the optimum accelerator mixing ratio. We implemented a mixture design strategy to derive the optimum mixing ratio for obtaining the desired mechanical properties and vulcanization characteristics. The insertion and separation forces of the existing grommet were compared with those of the grommet fabricated using the derived mixing ratio and we found that the mounting performance was improved compared to the existing grommet.

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“…In recent years, advances in rapid manufacturing technologies, in particular additive manufacturing (AM), have greatly shortened the development cycle of new products, thereby improving the efficiency and flexibility of producing new products [1][2][3]. The AM process is particularly well-suited to complex three-dimensional (3D) structures, however, some models containing suspension, hollow, or other complicated structures often need additional support structures to ensure smooth printing.…”

Section: Introductionmentioning

confidence: 99%

Research and Implementation of Integrated Methods of Unsupported Printing and Five-Axis CNC Machining Technology

Zhang

Sun

et al. 2019

Teh. vjesn.

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In traditional 3D printing, the best method for creating overhanging structures is to add supporting materials; however, this often leads to an increase in costs and a decrease in printing efficiency. Therefore, a five-axis CNC machining technology is introduced in this paper, proposing an unsupported 3D printing method. Models requiring support structures were supported by an existing supporting surface by adding two degrees of freedom (rotation and swinging). Moreover, effectiveness of the proposed method was verified by experiment.

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Optimization of Hybrid Manufacturing for Surface Quality, Material Consumption and Productivity Improvement

Abstract: This paper presents hybrid manufacturing process of 3D printing and milling. Fused deposition modeling (FDM)

Cited by 17 publications

References 9 publications

Using Maturity Model and Discrete-Event Simulation for Industry 4.0 Implementation

Using Maturity Model and Discrete-Event Simulation for Industry 4.0 Implementation

Optimization of Accelerator Mixing Ratio for EPDM Rubber Grommet to Improve Mountability Using Mixture Design

Research and Implementation of Integrated Methods of Unsupported Printing and Five-Axis CNC Machining Technology

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