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Marcello Pellicciari
University of Modena and Reggio Emilia
116Publications
13H-index
486Citations
Publications 116
Newest
#1Michele Gadaleta (University of Modena and Reggio Emilia)H-Index: 3
#2Marcello Pellicciari (University of Modena and Reggio Emilia)H-Index: 13
Last.Giovanni BerselliH-Index: 16
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Abstract At present, energy consumption strongly affects the financial payback period of industrial robots, as well as the related manufacturing process sustainability. Henceforth, during both design and manufacturing management stages, it becomes crucial to assess and optimize the overall energy efficiency of a robotic cell by means of digital manufacturing tools. In practice, robotic plant designers and managers should be able to provide accurate decisions also aimed at the energy optimization...
#1Fabio Grandi (University of Modena and Reggio Emilia)H-Index: 2
#2Luca Zanni (University of Modena and Reggio Emilia)H-Index: 16
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#1Margherita Peruzzini (University of Modena and Reggio Emilia)H-Index: 9
#2Marcello Pellicciari (University of Modena and Reggio Emilia)H-Index: 13
Last.Michele Gadaleta (University of Modena and Reggio Emilia)H-Index: 3
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Abstract Manufacturing ergonomics refers to the application of ergonomic principles and human factors analysis to the design of manufacturing tasks with the final aim to optimize the workers’ wellbeing and guarantee the expected process performance. Traditional design approaches are based on the observation of individual workers performing their jobs, the detection of unnatural postures (e.g., bending, twisting, overextending, rotating), and the definition of late corrective actions according to...
Robotic deburring (RD) still requires long and delicate physical tests to tune the process-parameters, thus drastically reducing the robotic cell productivity. Henceforth, engineering methods and tools are needed to optimise the RD application within a virtual environment, replicating the real behaviour of the robot tooling under different process conditions, namely unpredictable variety of burr size/shape and limited accuracy of the robot motions. To this purpose, the spindle compliance, which ...
#1Margherita Peruzzini (University of Modena and Reggio Emilia)H-Index: 9
#2Fabio Grandi (University of Modena and Reggio Emilia)H-Index: 2
Last.Marcello Pellicciari (University of Modena and Reggio Emilia)H-Index: 13
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Abstract In the context of smart factories, where intelligent machines share data and support enhanced functionalities at a factory level, workers are still seen as spectators rather than active players (Hermann, Pentek, & Otto, 2017). Instead, Industry 4.0 represents a great opportunity for workers to become part of the intelligent system; on one hand, operators can generate data to program machines and optimize the process flows, on the other hand they can receive useful information to support...
#1Margherita Peruzzini (University of Modena and Reggio Emilia)H-Index: 9
#2Fabio Grandi (University of Modena and Reggio Emilia)H-Index: 2
Last.Marcello Pellicciari (University of Modena and Reggio Emilia)H-Index: 13
view all 3 authors...
Abstract The analysis of workers’ ergonomics and human factors is assuming a great importance in product and process design for modern industry. However, there is a lack of common references and structured protocols for the assessment of workers’ experience in industrial practices in an effective and predictive way. As a result, designers are poorly supported in the application of digital technologies, which are demonstrating to have a great potential. This ascertainment suggested defining a ref...
#1Margherita Peruzzini (University of Modena and Reggio Emilia)H-Index: 9
#2Fabio Grandi (University of Modena and Reggio Emilia)H-Index: 2
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Human-centred design is based on the satisfaction of the user needs mainly related to performances, interaction, comfort, usability, accessibility, and visibility issues. However, the “real” user experience (UX) is hidden and usually difficult to detect. The paper proposes a multimodal system based on the collection of physiological and anthropometrical performance data on field and within a mixed prototyping set-up. The mixed environment makes users interact with virtual and digital items and u...
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