scholarly journals Process Automation in Computer Controlled Polishing

2016 ◽  
Vol 1136 ◽  
pp. 684-689 ◽  
Author(s):  
David Walker ◽  
Guo Yu Yu ◽  
Caroline Gray ◽  
Paul Rees ◽  
Matthew Bibby ◽  
...  
Keyword(s):  
Industrial Robots ◽  
Process Automation ◽  
Large Telescope ◽  
Manufacturing Cell ◽  
Prosthetic Joint ◽  
Ultra Precision ◽  
Joint Implants ◽  
Computer Controlled ◽  
Free Abrasive

We report on an ambitious project in the field of automation, applied to bound and free abrasive processing of precision and ultra-precision surfaces, with potentially far-reaching consequences. This involves two main aspects:- directly processing surfaces using industrial robots, and combining robots with Zeeko CNC polishing machines to automate operations that are currently manual. These form steps towards our ultimate vision of the Integrated Manufacturing Cell for bespoke optics rather than mass-produced, and manufacture of other precision surfaces including prosthetic joint implants. Projects such as the European Extremely Large Telescope provide a relevant case study, where significant numbers of high-value bespoke optics are required.

Robotics and Computer Integrated Manufacturing System Laboratory

1997 ◽  
Vol 9 (6) ◽  
pp. 480-481
Author(s):  
Yoshimi Takeuchi ◽  
Keyword(s):  
Manufacturing System ◽  
Industrial Robots ◽  
Computer Integrated Manufacturing ◽  
Process Automation ◽  
Control Software ◽  
Control Engineering ◽  
Research Activities ◽  
Solid Models ◽  
Ultra Precision ◽  
And Control

This R&CIM laboratory is one of fifteen research laboratories belonging to the Department of Mechanical and Control Engineering. It is involved in research on efficient and accurate manufacturing process automation. The research is divided roughly into three groups: multiaxis control machining, ultra-precision micro-machining and the application of industrial robots to dirty and/or dangerous tasks. The control software is based on 3DCAD data that employs solid models. The laboratory's research activities are described briefly.

scholarly journals An Elementary Approximation of Dwell Time Algorithm for Ultra-Precision Computer-Controlled Optical Surfacing

Micromachines ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 471
Author(s):  
Yajun Wang ◽  
Yunfei Zhang ◽  
Renke Kang ◽  
Fang Ji
Keyword(s):  
Dwell Time ◽  
Convergence Rates ◽  
Rotational Symmetry ◽  
Time Algorithm ◽  
Two Dimensions ◽  
Efficient Computation ◽  
Deconvolution Problem ◽  
Ultra Precision ◽  
Computer Controlled Optical Surfacing ◽  
Computer Controlled

The dwell time algorithm is one of the key technologies that determines the accuracy of a workpiece in the field of ultra-precision computer-controlled optical surfacing. Existing algorithms mainly consider meticulous mathematics theory and high convergence rates, making the computation process more uneven, and the flatness cannot be further improved. In this paper, a reasonable elementary approximation algorithm of dwell time is proposed on the basis of the theoretical requirement of a removal function in the subaperture polishing and single-peak rotational symmetry character of its practical distribution. Then, the algorithm is well discussed with theoretical analysis and numerical simulation in cases of one-dimension and two-dimensions. In contrast to conventional dwell time algorithms, this proposed algorithm transforms superposition and coupling features of the deconvolution problem into an elementary approximation issue of function value. Compared with the conventional methods, it has obvious advantages for improving calculation efficiency and flatness, and is of great significance for the efficient computation of large-aperture optical polishing. The flatness of φ150 mm and φ100 mm workpieces have achieved PVr150 = 0.028 λ and PVcr100 = 0.014 λ respectively.

scholarly journals Method engineering to increase labor productivity and eliminate downtime

2020 ◽  
Vol 13 (2) ◽  
pp. 321
Author(s):  
Mildrend Montoya-Reyes ◽  
Alvaro González-Angeles ◽  
Ismael Mendoza-Muñoz ◽  
Margarita Gil-Samaniego-Ramos ◽  
Juan Ling-López
Keyword(s):  
Human Factor ◽  
Dead Time ◽  
Research Strategy ◽  
Method Engineering ◽  
Human Machine Interaction ◽  
Manufacturing Cell ◽  
Future Harm ◽  
The Individual ◽  
Machine Interaction

Purpose: The purpose of this work is to present a method based on the application of method engineering, in order to eliminate downtime and improve the manufacturing cell.Design/methodology/approach: The research strategy employed was a case study applied to a manufacturing company to explore the causes of excessive dead time and low productivity. The methodology used was divided in five steps. The first corresponds to the analysis of the lathe and grinding process; the second is the elaboration of the man-machine diagram to identify dead times; the third is the application of the improvement proposal; the fourth is the redistribution of the cell to optimize the process; the fifth is to conclude from the results obtained.Findings: With the proposed method, the downtime was reduced by 41% and only 50% of the available labor is required, therefore, it is concluded that the method can be used to redesign manufacturing cells.Research limitations/implications: This research was limited to analyzing and improving human-machine interaction, since work is not just the machine, or the individual alone, or the individual manipulating the machine, therefore, no other tools were used to improve the time of machines operation.Practical implications: Designing a manufacturing cell that allows the operator to do his job with less fatigue and not adapt the operator to the job, as commonly happens.Social implications: Companies must show a greater interest in occupational health by including human capital in their optimization plans to avoid future harm to workers.Originality/value: The key contribution of this paper focused on developing a novel and practical methodology to design or re-design manufacturing cells to improve productivity considering the human factor, inspired by the main concepts of method engineering.

Using Reconfigurable Tooling and Surface Heating for Incremental Forming of Composite Aircraft Parts

2003 ◽  
Vol 125 (2) ◽  
pp. 333-343 ◽  
Author(s):  
Daniel F. Walczyk ◽  
Jean F. Hosford ◽  
John M. Papazian
Keyword(s):  
Heating Time ◽  
Mold Surface ◽  
Process Automation ◽  
Forming Process ◽  
The Past ◽  
Air Jets ◽  
Heated Air ◽  
Composite Forming ◽  
Computer Controlled ◽  
Flat Lay

The application of composites in the aircraft industry has increased significantly over the past few decades. With traditional composite laminate shaping, each layer is made to conform to the mold surface by hand before subsequent layers are added. This is a very labor- and time-intensive process. There is a great deal of interest in developing an automated process for forming composite parts with compound curvatures. The proposed composite forming process utilizes a computer-controlled, reconfigurable discrete element mold to incrementally form a compound curvature part shape from a flat lay-up, thereby facilitating process automation. An elastomeric interpolating layer, called an interpolator, is placed on top of the hemispherical forming ends of the die elements to prevent dimpling of the composite lay-up. The process employs vacuum to pull a single diaphragm (top), composite, and interpolator into contact with the mold surface. Through an experimental investigation, this new composites forming process with “active” tooling has been successfully demonstrated. Heating of the composite is accomplished by uncontained, forced convection using a matrix of heated air jets mounted above the composite. However, low-powered conduction is shown to be the best heating method in terms of both composite heating time and minimization of through-thickness temperature. Using vacuum to conform both the composite and the interpolator to the mold, and choosing sufficiently stiff diaphragm and interpolator materials, undimpled and wrinkle-free composite parts have been formed in an incremental fashion.

Case study of surface micro-waves in ultra-precision raster fly cutting

2016 ◽  
Vol 46 ◽  
pp. 393-398 ◽  
Author(s):  
Guoqing Zhang ◽  
Suet To ◽  
Shaojian Zhang ◽  
Zhiwei Zhu
Keyword(s):  
Fly Cutting ◽  
Ultra Precision

Knowledge Recommendation System for Human-Robot Collaborative Disassembly Using Knowledge Graph

2021 ◽  
Author(s):  
Yang Hu ◽  
Yiwen Ding ◽  
Feng Xu ◽  
Jiayi Liu ◽  
Wenjun Xu ◽  
...  
Keyword(s):  
Recommendation System ◽  
Industrial Robots ◽  
Knowledge Graph ◽  
Disassembly Process ◽  
Knowledge Based ◽  
Manufacturing Efficiency ◽  
Human Operators ◽  
Traditional Manufacturing ◽  
Human Robot Collaboration

Abstract In recent years, more and more attention has been paid to Human-Robot Collaborative Disassembly (HRCD) in the field of industrial remanufacturing. Compared with the traditional manufacturing, HRCD helps to improve the manufacturing flexibility with considering the manufacturing efficiency. In HRCD, knowledge could be obtained from the disassembly process and then provides useful information for the operator and robots to execute their disassembly tasks. Afterwards, a crucial point is to establish a knowledge-based system to facilitate the interaction between human operators and industrial robots. In this context, a knowledge recommendation system based on knowledge graph is proposed to effectively support Human-Robot Collaboration (HRC) in disassembly. A disassembly knowledge graph is constructed to organize and manage the knowledge in the process of HRCD. After that, based on this, a knowledge recommendation procedure is proposed to recommend disassembly knowledge for the operator. Finally, the case study demonstrates that the developed system can effectively acquire, manage and visualize the related knowledge of HRCD, and then assist the human operator to complete the disassembly task by knowledge recommendation, thus improving the efficiency of collaborative disassembly. This system could be used in the human-robot collaboration disassembly process for the operators to provide convenient knowledge recommendation service.

Searching Dimensions and Directions for Digital Innovations Within the Insurance Industry

2021 ◽  
Vol 12 (2) ◽  
pp. 63-89
Author(s):  
Heini Hyttinen ◽  
Hannu Kalevi Kivijärvi ◽  
Anssi Öörni
Keyword(s):  
Insurance Industry ◽  
Principal Component ◽  
Knowledge Synthesis ◽  
Insurance Companies ◽  
Process Automation ◽  
Structured Interviews ◽  
Organizational Capability ◽  
Pension Insurance ◽  
Digital Innovation

Discovery of digital innovations is a key organizational capability for sustaining competitive advantage. Despite its importance, discovery of digital innovations is still ill understood. In this paper, the authors seek to provide a theory-based practice for digital innovation discovery. To meet this objective, they source the theories of knowledge and knowledge combination. Data for this case study were collected through semi-structured interviews and a quantitative questionnaire from three pension insurance companies. The data were analyzed by using principal component analysis and by constructing biplots based of the results. Two significant dimensions in the digitalization needs that guide knowledge synthesis were recognized: the importance of adopting the enabler and the volume of resources needed to adopt the enabler. A closer look at the enablers revealed that the most business-critical current digital business enablers for the pension insurance industry are business process automation, online services, and big data.

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