Robotic finishing process – An extrusion die case study

Wilbert, André Driemeyer; Behrens, Barbara; Zymla, C.; Dambon, Olaf; Klocke, Fritz

doi:10.1016/j.cirpj.2015.07.002

Cited by 14 publications

(5 citation statements)

References 8 publications

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“…Table 1 Robotic machining and its process capabilities. Milling [8], [9], Drilling [10], [11], Grinding [12], [13], [14] and Polishing [15], [16].…”

Section: Yearsmentioning

confidence: 99%

Robotic Machining: Status, Challenges and Future Trends

Kiefer,

Luo,

Reimer

et al. 2023

2023 28th International Conference on Automation and Computing (ICAC)

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Robotic machining is considered a viable replacement for large, fixed single-process machines like computer numerical control (CNC) machining and drilling units. Robotic machining is attracting intensive research interests in recent years due to its high efficiency, flexibility, and low cost. However, its industrial adoption is still extremely limited. This paper systematically reviewed the status of major robotic machining processes, including milling, drilling, polishing, and finishing. The key focus was to identify the challenges of robotics machining that derive from low stiffness, poor positional accuracy, and current approaches to over these challenges. The paper concluded with future research trends and the potential of robotic machining.

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“…Table 1 Robotic machining and its process capabilities. Milling [8], [9], Drilling [10], [11], Grinding [12], [13], [14] and Polishing [15], [16].…”

Section: Yearsmentioning

confidence: 99%

Robotic Machining: Status, Challenges and Future Trends

Kiefer,

Luo,

Reimer

et al. 2023

2023 28th International Conference on Automation and Computing (ICAC)

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“…We have therefore developed a new methodology for robot programming by demonstration where the programmer manually guides the robot through the desired tasks instead of coding. In the past, considerable effort has been dedicated to the automation of tasks such as polishing and grinding using industrial robots [16]. Methods based on a predefined skills library have also been proposed [17].…”

Section: Introductionmentioning

confidence: 99%

Technology Modules Providing Solutions for Agile Manufacturing

Deniša,

Ude,

Simonič

et al. 2023

Machines

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In this paper, we address the most pressing challenges faced by the manufacturing sector, particularly the manufacturing of small and medium-sized enterprises (SMEs), where the transition towards high-mix low-volume production and the availability of cost-effective solutions are crucial. To overcome these challenges, this paper presents 14 innovative solutions that can be utilized to support the introduction of agile manufacturing processes in SMEs. These solutions encompass a wide range of key technologies, including reconfigurable fixtures, low-cost automation for printed circuit board (PCB) assembly, computer-vision-based control, wireless sensor networks (WSNs) simulations, predictive maintenance based on Internet of Things (IoT), virtualization for operator training, intuitive robot programming using virtual reality (VR), autonomous trajectory generation, programming by demonstration for force-based tasks, on-line task allocation in human–robot collaboration (HRC), projector-based graphical user interface (GUI) for HRC, human safety in collaborative work cells, and integration of automated ground vehicles for intralogistics. All of these solutions were designed with the purpose of increasing agility in the manufacturing sector. They are designed to enable flexible and modular manufacturing systems that are easy to integrate and use while remaining cost-effective for SMEs. As such, they have a high potential to be implemented in the manufacturing industry. They can be used as standalone modules or combined to solve a more complicated task, and contribute to enhancing the agility, efficiency, and competitiveness of manufacturing companies. With their application tested in industrially relevant environments, the proposed solutions strive to ensure practical implementation and real-world impact. While this paper presents these solutions and gives an overview of their methodologies and evaluations, it does not go into their details. It provides summaries of comprehensive and multifaceted solutions to tackle the evolving needs and demands of the manufacturing sector, empowering SMEs to thrive in a dynamic and competitive market landscape.

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“…Assim, a pesquisa pretende colaborar com a geração antecipada de informações para o gerenciamento das empresas patrocinadoras, dessa forma, buscou apresentar dados mais precisos para a sociedade. Essa perspectiva se justifica, especialmente, pelo fato de que 3,8% dos brasileiros estão vinculados a alguma EFPC e depositam sua confiança e sua economia em busca de um retorno tranquilo no futuro, segundo afirma Santos (2018).…”

Section: Introductionunclassified

Modelo preditivo para geração de informações gerenciais para empresas patrocinadoras de entidades fechadas de previdência complementar

Cruz,

José Guerra Leone,

De Menezes e Silva Filho

et al. 2023

Perspectivas Contemporâneas

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O objetivo do estudo foi realizar uma análise comparativa na aplicação de dois modelos o Auto-regressivos Integrados de Média Móvel (ARIMA) e o modelo de Auto-regressão Vetorial (ARV) em empresas patrocinadoras das Entidades Fechadas de Previdência Complementar, listadas no Brasil, Bolsa, Balcão (B3). Através de uma ação quase-experimental, foram utilizados dois modelos, o auto-regressivos integrados de média móvel (ARIMA) e o modelo de Auto-regressão Vetorial (ARV). Com base nos resultados preditivos dos modelos, foi possível identificar que os dados rodados pelo método ARIMA não apresentaram um bom ajuste e foi possível concluir que o modelo criado pelo ARV se apresentou mais robusto na previsão das situações futuras das empresas analisadas, e que, as decisões com base nos modelos preditivos, apontaram a necessidade de antecipação de decisões sobre a taxa de desconto, a taxa de inflação, taxa do aumento salarial e sobre os ativos garantidores.

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Robotic finishing process – An extrusion die case study

Cited by 14 publications

References 8 publications

Robotic Machining: Status, Challenges and Future Trends

Robotic Machining: Status, Challenges and Future Trends

Technology Modules Providing Solutions for Agile Manufacturing

Modelo preditivo para geração de informações gerenciais para empresas patrocinadoras de entidades fechadas de previdência complementar

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