Twin tools for intelligent manufacturing: a case study

Cepolina, Elvezia Maria; Cepolina, Francesco

doi:10.46354/i3m.2021.emss.059

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…Advanced robot control is enabled by artificial intelligence (AI). A real-time layer of safety and optimization was provided via a digital twin simulation for the system (Cepolina and Cepolina, 2021a, 2022b). Finally, compliant and soft mechanisms enable robots to interact more effectively with people and soft objects.…”

Section: Technologiesmentioning

confidence: 99%

Robots trends and megatrends: artificial intelligence and the society

Molfino,

Cepolina,

Cepolina

et al. 2023

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Purpose The purpose of this study is to analyze the robot trends of the next generation. Design/methodology/approach This paper is divided into two sections: the key modern technology on which Europe's robotics industry has built its foundation is described. Then, the next key megatrends were analyzed. Findings Artificial intelligence (AI) and robotics are technologies of major importance for the development of humanity. This time is mature for the evolution of industrial and service robots. The perception of robot use has changed from threading to aiding. The cost of mass production of technological devices is decreasing, while a rich set of enabling technologies is under development. Soft mechanisms, 5G and AI have enabled us to address a wide range of new problems. Ethics should guide human behavior in addressing this newly available powerful technology in the right direction. Originality/value The paper describes the impact of new technology, such as AI and soft robotics. The world of work must react quickly to these epochal changes to enjoy their full benefits.

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Section: Technologiesmentioning

confidence: 99%

Robots trends and megatrends: artificial intelligence and the society

Molfino,

Cepolina,

Cepolina

et al. 2023

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“…Some tests have been performed to recreate the stress conditions that could generate the breakage of the “glass” door. The test environment has been designed to simulate the real working conditions 37–39 . The born of cracking in the transparent thermoplastic material of the door has been reproduced thanks to chemical, temperature, and vibration tests.…”

Section: Combined Climatic and Vibrational Testsmentioning

confidence: 99%

“…The test environment has been designed to simulate the real working conditions. [37][38][39] The born of cracking in the transparent thermoplastic material of the door has been reproduced thanks to chemical, temperature, and vibration tests. The styrene generates chemical stress, the temperature chamber and the environment create the thermal loads, and the transformers provide the vibrational load.…”

Section: Combined Climatic and Vibrational Testsmentioning

confidence: 99%

Failure analysis of fiberglass cover used for photovoltaic plants

Cepolina

Gabrielli

Ferla

et al. 2023

J of Applied Polymer Sci

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Cover boxes with inspection glass are generally used outdoors for photovoltaic systems. Sometimes these boxes break, during normal use. High temperature, thermal stress, cyclic stress, and cracking contribute to weakening the polymeric inspection "glass". The study presents an interdisciplinary analysis to discover the mode of occurrence and causes of the failure. First, the material is accurately characterized. Then its mechanical behavior is characterized in a virtual scenario that reconstructs the real external environment. The goal is to build a new cover with inspection boxes that exhibits superior life cycle behavior when exposed to harsh weather conditions and atmospheric agents. The breaking phenomena of solar panels covering boxes in PMMA (Poly Methyl Methacrylate) are examined. Environmental stress is the main responsible for cracking. Styrene is employed in the polymerization process of Sheet Molding Compound (SMC); the diffusion of this material is the main responsible for cracking. Comprehensive engineering analysis shows how the thermoplastic component fails after being exposed to atmospheric agents. The PMMA "glass" is one of the polymers most sensible to the crazing phenomena.

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“…The machine learning creates a sort of mathematical model of the process, and sets the optimised production parameters, for the next batch of production. A predictive digital twin online process simulation is used to foresee and solve problems before they happen [9], [10].…”

Section: Pluginmentioning

confidence: 99%

Brainstorm on artificial intelligence applications and evaluation of their commercial impact

Cepolina

Cepolina²,

Ferla³

2022

IJ-AI

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<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span lang="EN-US">A countless number of artificial intelligence applications exist in a wide range of fields. The artificial intelligence (AI) technology is becoming mature, free powerful libraries enable programmers to generate new apps using a few lines of code. The study identifies the applications that are the most interesting for a developer as far as profit is concerned. Some AI applications related to trading, industry, sales, logistics, games, and personal services have been considered. To select the most promising AI applications, multi criteria methods have been adopted. This brainstorm may be useful to inspire new born start-ups, willing to create viral apps/products. The paper wishes to be informative and light, for further information, a rich selection of publications and books is provided.</span></p></div></div></div>

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Twin tools for intelligent manufacturing: a case study

Cited by 6 publications

References 13 publications

Robots trends and megatrends: artificial intelligence and the society

Robots trends and megatrends: artificial intelligence and the society

Failure analysis of fiberglass cover used for photovoltaic plants

Brainstorm on artificial intelligence applications and evaluation of their commercial impact

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