scholarly journals Bio-based design methodologies for products, processes, machine tools and production systems

2021 ◽  
Vol 32 ◽  
pp. 46-60 ◽  
Author(s):  
F. van Houten ◽  
R. Wertheim ◽  
A. Ayali ◽  
E. Poverenov ◽  
G. Mechraz ◽  
...  
2014 ◽  
Vol 28 (4) ◽  
pp. 353-363 ◽  
Author(s):  
Giacomo Copani ◽  
Marco Leonesio ◽  
Lorenzo Molinari Tosatti ◽  
Stefania Pellegrinelli ◽  
Marcello Urgo ◽  
...  

Author(s):  
Stael Ferreira Senra ◽  
Fabricio Nogueira Correa ◽  
Breno Pinheiro Jacob ◽  
Ma´rcio Martins Mourelle ◽  
Isai´as Quaresma Masetti

The objective of this paper is to study different analysis methodologies for the design of floating production systems. The main issues are the use of uncoupled and coupled analysis methods, and the integration in the analysis and design of the mooring system and the risers. This paper is a companion to another paper also presented in the OMAE2002 Conference [1] The present paper begins describing a “basic” classic, uncoupled methodology, and proceeds with comments on some refinements in the representation of the behavior of the lines in the motion analysis of the vessel. Comments regarding the introduction of some level of integration between mooring line and riser behavior are also presented. These issues are illustrated with studies applying some of the considered design methodologies to the P-18 semi-submersible platform in Campos basin. The companion paper [1] proceeds describing a fully coupled methodology, and some hybrid methodologies that combine coupled and uncoupled analysis tools, and illustrates their application to a DICAS system for deepwater applications in Campos basin.


Author(s):  
Fumiki Tanaka

Abstract Achieving high performance of machining production systems requires the use of multi-axis machine tools. In order to maximize the performance of multi-axis machine tools, micro process planning for creating machining data is important. Many researches on micro process planning mainly focused on 3-axis machining. As promising approaches among them, a micro process planning system was proposed that reuses actual machining cases and analyzes case data to derive the necessary rules. However, it is not always effective for multi-axis machining, because enough case data are not collected for micro process planning of a specific multi-axis machine tool. In this study, a digital twin of multi-axis machine tool in cyberspace is proposed to collect real and virtual machining case data for micro process planning.


Author(s):  
Roberto Pérez ◽  
José Eduardo Márquez ◽  
Arturo Molina ◽  
Miguel Ramírez-Cadena ◽  
Ricardo Del Risco ◽  
...  

Today, the micro-factory concept of downsizing production systems is essential to manufacturing small products in sustainable growth. Concerning this, this paper presents the developments accomplished during the recent years at Tecnológico de Monterrey (Mexico) and Holguin University (Cuba) introducing new findings related to the design of reconfigurable micro-factories based-on micro-machine tools. The chapter discusses the proposed framework for the optimizing the development of micro-factories in the context of micro-reconfigurable manufacturing systems based-on micro-reconfigurable machine tools. The novel methodology for optimizing the scheduling of reconfigurable micro-factories were exposed and a scheduling optimization of a reconfigurable micro-factory prototype was designed and tested.


Author(s):  
Giacomo Copani ◽  
Marco Leonesio ◽  
Lorenzo Molinari-Tosatti ◽  
Stefania Pellegrinelli ◽  
Marcello Urgo ◽  
...  

2022 ◽  
Author(s):  
Christian Brecher ◽  
Manfred Weck

2014 ◽  
Vol 8 (1) ◽  
pp. 73-73
Author(s):  
Naohiko Sugita ◽  
Mamoru Mitsuishi

The development of medical devices and systems is essential for improving quality of life and reducing global healthcare costs. Machine tools are increasingly used in the medical, automotive, airplane, and electronics fields thanks to advances in manufacturing technology. The processing of artificial implants and biomaterials, for example, and parts of medical devices such as endoscopes are manufactured with multiaxis machine tools. This demand is expected to increase as society ages. Equipment used in diagnostics and surgery has also developed rapidly. Despite the use of advanced diagnostics such as computed tomography (CT) and magnetic resonance imaging (MRI), however, surgery still largely depends on the skill and sense of the surgeon. Advanced manufacturing technologies are thus needed to achieve these desired attributes. Biomanufacturing requires expertise in basic manufacturing processes such as cutting, electrophysical and chemical processes, forming, and abrasive processes. These, in turn, must be integrated into machine design, surface modification, precision engineering, and metrology within the overarching frameworks of design, life cycle engineering and assembly, production systems, and organization. Biomanufacturing is thus defined as the application of design and manufacturing technologies for reducing cost while advancing safety, quality, efficiency and speed in healthcare services and biomedical sciences. Biomanufacturing provides an excellent platform for converging innovations in precision engineering, nanotechnology, biotechnology, information technology, and cognitive sciences. This special issue presents the latest in research advances, practical and theoretical applications, and case studies on biomanufacturing. The papers featured in this issue provide aid in the development of next-generation manufacturing technologies. We thank the authors for their invaluable contributions and the reviewers for their ever- useful advice. We know you will find this special issue both fascinating and worthwhile.


2018 ◽  
Vol 12 (4) ◽  
pp. 507-513
Author(s):  
Makoto Fujishima ◽  
◽  
Takashi Hoshi ◽  
Hiroki Nakahira ◽  
Masafumi Takahashi ◽  
...  

Mass-production machining systems that are comprised of machine tools are often configured in series by dividing the machining processes in order to manage the large production volume. This indicates that if one of the machines stops owing to a mechanical malfunction, the entire production line needs to be stopped. Thus, machine tools in mass-production systems are required to be highly reliable and easy to maintain. Predictive maintenance, which enables operators to detect any signs of failure in the machine tool components, needs to be performed for the machines as well. In this work, various approaches for the improvement of the maintainability of machine tools used in a mass-production system are reported.


Author(s):  
A. I. Kondakov

Productivity is the most important indicator of labor efficiency. Productivity estimates poorly take into account the interaction of production systems equipment and the technological complexity of labor objects. There is proposed an integral assessment of the performance of these systems, which characterizes the effectiveness of the financial expenses of production resources in the manufacture of parts. It is proposed to characterize their technological complexity by multiplying the increase in the labor subject value after technological impact by the part release volume. The proposed assessment can be used in the development of software applications that automate the tasks of analyzing the effectiveness of production systems.


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