Illumination simulation of working environment during the testing of cutting materials durability

Dupláková, Darina; Hatala, Michal; Duplák, Ján; Knapčíková, Lucia; Radchenko, Svetlana

doi:10.1016/j.asej.2018.10.004

Cited by 19 publications

(10 citation statements)

References 11 publications

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“…By using simulation software, the company can save costs in the event of unsuccessful prototypes or introduced changes directly into production. On the simulation model, as was pointed out in the thesis, it is possible to try the introduction of new operating systems, without directly interfering with the real company [17,18].…”

Section: Discussionmentioning

confidence: 99%

Streamlining logistics flows with lean tools using TX Plant Simulation software support

Pekarcikova,

Trebuna,

Dic

et al. 2023

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A critical factor in the manufacturing industry is waste and losses in individual operations and processes. The expansion of elements of lean production, such as the pull system with the interconnection of key technologies, brings new elements of production planning and control. Thanks to new technologies, many more possibilities exist to uncover potential bottlenecks. Simulations and modelling bring new possibilities for experimentation in the virtual environment of prepared systems or devices without directly disturbing the functioning system. The presented article deals with the issue of applying lean approaches in finding optimal solutions within logistics flows. The aim of the article is to define and test the potential for streamlining logistics flows with TX Plant Simulation software support. The research and empirical part of the study was solved based on a rigorous analysis of the initial situation in a specific company for the selected product group, as the Value Stream Mapping method was used for the analysis. A simulation model of a real line was created in the TX Plant Simulation software with the help of the Value Stream Mapping library for value creation, which is part of the software. The goal was to find out possible waste within the logistics flow, and its causes and propose the necessary steps to eliminate the waste.

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Section: Discussionmentioning

confidence: 99%

Streamlining logistics flows with lean tools using TX Plant Simulation software support

Pekarcikova,

Trebuna,

Dic

et al. 2023

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“…To ease the reader in understanding the level of performance of the methods when estimating illuminance, the expected error of state-of-the-art lighting simulations can vary between 1% and 14% Duplakova et al , 46 Carrol et al 47 (the collected ground truth data embed such an error initially, so our estimated errors are in comparison to these values). This could be translated to an acceptable illumination average error up to ±10% or approx.…”

Section: Methodsmentioning

confidence: 99%

DeepLux: A data-driven method and benchmark for 3D illuminance maps estimation

Tsesmelis

Carissimi

Bue

2023

Lighting Research & Technology

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In this paper, we propose a pipeline and benchmark, called DeepLux, for predicting illuminance on 3D point clouds. Classic algorithms for computing photometrically accurate illumination are based on numerical and analytical models which are generally computationally expensive, especially in scenarios with complex geometries. Unlike existing approaches, our algorithm is the first learning-based method that is able to predict accurate illuminance map information that could be used for real-time smart lighting applications. We also evaluate our approach on two complementary tasks, that is, light position and intensity estimation, which are important aspects in the field of lighting design. Additionally, we provide an extensive novel photometrically correct dataset, which we use for training and evaluating our approach. Experiments show that the proposed algorithm produces results on par with or even better than the state of the art (+8% average error in real tests) while achieving faster simulation timings than its analytical counterpart, especially in complex synthetic and real-world scenarios.

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“…Compared to other research dealing with lighting simulations in the industrial context, our method provides additional information about the work environment. For example, Dupláková et al [37] described the lighting simulation and lighting optimization for a cutting workplace. They used the free software Dialux evo, which is comparable to the Relux software used in this publication.…”

Section: Nonvisual Lighting Simulationmentioning

confidence: 99%

“…The same holds true for a publication of Dupláková et al [38] in the context of an aluminum piece production facility. In addition to the prior publication [37], the authors provide a rationalization algorithm for the redesign of the working environment light. The authors also mention the possibility of circadian quantities to assess and improve the health aspects of lighting.…”

Section: Nonvisual Lighting Simulationmentioning

confidence: 99%

Designing Light for Night Shift Workers: Application of Nonvisual Lighting Design Principles in an Industrial Production Line

Zauner

Plischke

2021

Applied Sciences

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Chronodisruption deteriorates the health and wellbeing of shift workers. Artificial light at night and the lack of light during the day are major contributors to chronodisruption and need to be optimized in shift work scenarios. Here, we present one solution for a lighting and automation system in an industrial production workplace. The setting is a rapidly rotating shift work environment with morning, evening, and night shifts. We describe a procedure to specify the new lighting through a software-agnostic nonvisual lighting simulation for artificial and daylighting scenarios. Through this process, a new luminaire is created, called Drosa, that allows for a large melanopic stimulus range between 412 and 73 lx melanopic equivalent daylight (D65) illuminance vertically at eye level, while maintaining a neutral white illuminance at task level between 1250 and 900 lx, respectively. This is possible through a combination of glare-free spotlights with adjustable areal wing lights. An individually programmed automation system controls the light dosage and timing during the day and night. The work is relevant for other shift work scenarios, where the presented example and the discussed rationale behind the automation might provide insights. The work is further relevant for other lighting scenarios beyond industrial shift work, as the nonvisual lighting simulation process can be adapted to any context.

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Illumination simulation of working environment during the testing of cutting materials durability

Cited by 19 publications

References 11 publications

Streamlining logistics flows with lean tools using TX Plant Simulation software support

Streamlining logistics flows with lean tools using TX Plant Simulation software support

DeepLux: A data-driven method and benchmark for 3D illuminance maps estimation

Designing Light for Night Shift Workers: Application of Nonvisual Lighting Design Principles in an Industrial Production Line

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