Machine Tools Production Systems 3

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.

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Optimizing the Reconfiguration of Machining Desktop Micro-Factory Based on Scheduling Simulation

Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-0130-5.ch023 ◽

2016 ◽

pp. 494-517

Author(s):

Roberto Pérez ◽

José Eduardo Márquez ◽

Arturo Molina ◽

Miguel Ramírez-Cadena ◽

Ricardo Del Risco ◽

...

Keyword(s):

Machine Tools ◽

Manufacturing Systems ◽

Production Systems ◽

Sustainable Growth ◽

The Novel ◽

Reconfigurable Manufacturing Systems ◽

Reconfigurable Manufacturing ◽

Scheduling Optimization ◽

New Findings ◽

Micro Machine

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.

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Holistic Approach for Jointly Designing Dematerialized Machine Tools and Production Systems Enabling Flexibility-Oriented Business Models

Leveraging Technology for a Sustainable World ◽

10.1007/978-3-642-29069-5_36 ◽

2012 ◽

pp. 209-214 ◽

Cited By ~ 8

Author(s):

Giacomo Copani ◽

Marco Leonesio ◽

Lorenzo Molinari-Tosatti ◽

Stefania Pellegrinelli ◽

Marcello Urgo ◽

...

Keyword(s):

Machine Tools ◽

Business Models ◽

Production Systems ◽

Holistic Approach

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Special Issue on Biomanufacturing

International Journal of Automation Technology ◽

10.20965/ijat.2014.p0073 ◽

2014 ◽

Vol 8 (1) ◽

pp. 73-73

Author(s):

Naohiko Sugita ◽

Mamoru Mitsuishi

Keyword(s):

Medical Devices ◽

Machine Tools ◽

Production Systems ◽

Healthcare Services ◽

Special Issue ◽

Biomedical Sciences ◽

Precision Engineering ◽

Advanced Manufacturing Technologies ◽

Magnetic Resonance Imaging Mri ◽

Manufacturing Technologies

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.

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Machine Tool Service for Mass-Production Machining Systems

International Journal of Automation Technology ◽

10.20965/ijat.2018.p0507 ◽

2018 ◽

Vol 12 (4) ◽

pp. 507-513

Author(s):

Makoto Fujishima ◽

◽

Takashi Hoshi ◽

Hiroki Nakahira ◽

Masafumi Takahashi ◽

...

Keyword(s):

Machine Tool ◽

Production System ◽

Mass Production ◽

Machine Tools ◽

Production Systems ◽

Production Volume ◽

Machining Processes ◽

In Series ◽

Tool Service ◽

Large Production

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.

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PRODUCTIVITY OF MACHINE TOOLS AND PRODUCTION SYSTEMS

Spravochnik Inzhenernyi zhurnal ◽

10.14489/hb.2020.04.pp.052-055 ◽

2020 ◽

pp. 52-55

Author(s):

A. I. Kondakov

Keyword(s):

Machine Tools ◽

Production Systems ◽

Important Indicator ◽

Software Applications ◽

Labor Efficiency ◽

Technological Complexity ◽

Technological Impact ◽

Integral Assessment ◽

Production Resources

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

CIRP Journal of Manufacturing Science and Technology ◽

10.1016/j.cirpj.2020.11.008 ◽

2021 ◽

Vol 32 ◽

pp. 46-60 ◽

Cited By ~ 1

Author(s):

F. van Houten ◽

R. Wertheim ◽

A. Ayali ◽

E. Poverenov ◽

G. Mechraz ◽

...

Keyword(s):

Machine Tools ◽

Production Systems ◽

Design Methodologies

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Design, Modeling and Functionality Allocation in Mechatronic Production Systems

Volume 4: Fatigue and Fracture; Fluids Engineering; Heat Transfer; Mechatronics; Micro and Nano Technology; Optical Engineering; Robotics; Systems Engineering; Industrial Applications ◽

10.1115/esda2008-59571 ◽

2008 ◽

Author(s):

Reimund Neugebauer ◽

Welf-Guntram Drossel ◽

Steffen Ihlenfeldt ◽

Markus Wabner

Keyword(s):

Machine Tool ◽

Machine Tools ◽

Manufacturing Systems ◽

Metal Cutting ◽

Production Systems ◽

Intervention Strategies ◽

Electronic Unit ◽

Mechatronic Systems ◽

Thermal Errors ◽

Damping Of Vibrations

This paper reviews current developments in mechatronic systems for metal cutting and forming machine tools. The integration of mechatronic modules to the machine tool and their interaction with manufacturing processes are presented. Sample mechatronic components for precision positioning and compensation of static, dynamic and thermal errors are presented as examples. The effect of modular integration of mechatronic systems on the reconfigurability and reliability of the machine tools is discussed along with intervention strategies during machine tool operations. The performance and functionality aspects are discussed through active and passive intervention methods. A special emphasis was placed on active and passive damping of vibrations through piezo, magnetic, and electro-hydraulic actuators. The modular integration of mechatronic components into the machine tool’s structure, electronic unit, and CNC software system is presented. The paper concludes with the current research challenges required to expand the application of mechatronics in machine tools and manufacturing systems.

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Approach to Forecast Energy Consumption of Machine Tools within the Design Phase

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.769.278 ◽

2013 ◽

Vol 769 ◽

pp. 278-284 ◽

Cited By ~ 1

Author(s):

Karl Doreth ◽

Jan Henjes ◽

Stefan Kroening

Keyword(s):

Energy Consumption ◽

Machine Tool ◽

Machine Tools ◽

Production Systems ◽

Design Phase ◽

Empirical Information ◽

Complex Simulation ◽

Data Feedback ◽

Acquisition Costs

For environmental and economic reasons, energy- and resource- efficient operations of cutting machines are increasingly important. The determination of properties and functions of machine tools, which affect future energy consumption in operation, essentially takes place within the design phase by combining required components. Therefore, it is necessary to develop approaches to find an efficient optimum between energy consumption, productivity, acquisition costs and operating costs within the design phase of a machine tool. However, the energy consumption of a machine tool depends on the application scenario. In addition to that, it is difficult to forecast the energy consumption of several components because of their mutual interaction. Existing approaches to forecast the energy consumption of a machine tool within design phase are based on complex simulation or mathematical models which are difficult to parameterize for the design of a machine tool and thus, for the comparison of various configuration alternatives. An alternative for forecasting energy consumption is the use of empirical information. That information can be acquired by measuring the energy consumption of machine tools in operating production systems. This paper presents an approach to forecast the energy consumption of machine tools within the design phase, which will be developed by the Institute of Production Engineering and Machine Tools. It will be based on the data feedback (empirical information) from a machine tool operating in an existing manufacturing system. For this purpose, a logger module will be developed, which continually captures the energy consumption by means of the machine integrated sensors. That information will be sent back to an energy navigator module, which processes that information in order to forecast the energy consumption of a new designed machine tool. Also, the lifecycle costs will be calculated in order to rate cost and benefits of each machines lifecycle in terms of energy consumption.

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