25,933 research outputs found
Искусственные мышцы в бионике и робототехнике
Drilling bars with great overhang are used for the purpose of deep drilling. Vibrations of the drilling bar and changing cutting forces based on form and position errors of a pilot hole are interrupting influences within the manufacturing process. Therefore the Fraunhofer IPT is developing an intelligent adaptronic drilling tool which enables the use of different redundant adaptronic systems each consisting of piezoactuators, solid-state joints and sensors in order to improve the accuracy of the drilling process. This paper presents the physical state-space model of the static und dynamic behaviour of one adaptronic system as the basis for further control synthesis and describes a useful tool for the multidiscipline design of the system. The starting model parameters are calculated by FEM-simulation and are fitted to measured data by an optimisation-algorithm based on Newton's method. By describing the piezoelectric hysteresis the linear model of the mechatronic transfer behaviour is extended to a nonlinear model, which is the starting point for complex control designs for adaptronic machine tools. Entnommen aus TEMA</a
Pembangunan Modul Pengajaran Kendiri (MPK) keusahawanan dalam topik isu keusahawanan bagi pelajar diploma di politeknik
Terdapat pelbagai kaedah pembelajaran yang telah diperkenalkan termasuklah
kaedah pembelajaran yang menggunakan pendekatan pembelajaran bermodul secara
kendiri. Kajian ini adalah bertujuan untuk mengkaji kesesuaian Modul Pengajaran
Kendiri Keusahawanan dalam topik Isu Keusahawanan yang telah dihasilkan bagi
pelajar yang mengikuti pengajian Diploma di Jabatan Perdagangan Politeknik. Antara
aspek yang dikaji ialah untuk menilai sama ada rekabentuk modul yang dihasilkan dapat
memenuhi ciri-ciri modul yang baik, MPK yang dihasilkan dapat membantu mencapai
objektif pembelajaran, MPK ini bersifat mesra pengguna dan MPK yang dihasilkan
membantu pensyarah menyampaikan pengajarannya dengan lebih berkesan. Kajian ini
dilakukan ke atas 110 orang pelajar semester en am yang mengikuti pengajian diploma
dan 4 orang pensyarah yang mengajar subjek Keusahawanan di Jabatan Perdagangan
Politeknik Sultan Salahuddin Abdul Aziz Shah, Selangor. Kaedah analisa data yang
digunakan dalam kajian ini ialah skor min dan peratus. Hasil daripada kajian ini
menunjukkan bahawa rekabentuk modul yang dihasilkan memenuhi ciri-ciri modul
yang baik, MPK ini membantu untuk mencapai objektif pembelajaran, MPK ini
bersifat mesra pengguna dan MPK yang dihasilkan dapat membantu pensyarah
menyampaikan pengajarannya dengan lebih berkesan. Ini bermakna secara
keseluruhannya, hasil kajian menunjukkan bahawa modul yang dihasilkan oleh pengkaji
adalah sesuai digunakan oleh pelajar-pelajar semester enam yang mengikuti pengajian
diploma di Jabatan Perdagangan peringkat politeknik. Seterusnya, beberapa pandangan
telah dikemukakan bagi meningkatkan rnutu dan kualiti MPK yang dihasilkan. Semoga
kajian ini dapat memberi manfaat kepada mereka yang terlibat dalam bidang
pendidikan
Data fusion strategy for precise vehicle location for intelligent self-aware maintenance systems
Abstract— Nowadays careful measurement applications are
handed over to Wired and Wireless Sensor Network. Taking
the scenario of train location as an example, this would lead to
an increase in uncertainty about position related to sensors
with long acquisition times like Balises, RFID and
Transponders along the track. We take into account the data
without any synchronization protocols, for increase the
accuracy and reduce the uncertainty after the data fusion
algorithms. The case studies, we have analysed, derived from
the needs of the project partners: train localization, head of an
auger in the drilling sector localization and the location of
containers of radioactive material waste in a reprocessing
nuclear plant. They have the necessity to plan the maintenance
operations of their infrastructure basing through architecture
that taking input from the sensors, which are localization and
diagnosis, maps and cost, to optimize the cost effectiveness and
reduce the time of operation
Plasma sprayed titanium coatings with/without a shroud
Abstract:
Titanium coatings were deposited by plasma spraying with and without a shroud. The titanium coatings were then assessed by scanning electron microscopy. A comparison in microstructure between titanium coatings with and
without the shroud was carried out. The results showed that the shroud played an important role in protecting the titanium particles from oxidation. The presence of
the shroud led to a reduction in coating porosity. The reduction in air entrainment with t he shroud resulted in better heating of the particles, and an enhanced
microstructure with lower porosity in the shrouded titanium coatings were observed compared to the air plasma sprayed counterpart
A framework for green manufacturing practicies in small and medium enterprises in Malaysia
Green Manufacturing Practices (GrMP) is a term used to describe manufacturing practices that do not harm the environment during any part of the manufacturing process. It emphasizes the use of processes that do not pollute the environment or harm consumers, employees, or other members of the community. Small and medium enterprises (SMEs) are moving toward sustainable alternatives through GrMP method. It stresses on critical factors such as organisational style, eco-knowledge, business environment, society influences, supply chain management and technology network. Large size industries are more compelled to do so compared to SMEs due to the fact that they are more influential with better organizational management and good financial stability compared to SMEs. However, SMEs are trying to adapt GrMP as a mandatory process, but lack of proper framework which guide them for implementation. Therefore, this study developes the framework of GrMP for local SMEs. The study involves enablers and barriers in implementing GrMP from previous literatures. This work formulate a framework based on relationship between criticals factors with enablers and barriers. 59 of respondents from local industries in Malaysia were selected as respondents based on six of critical factors divided into two parts which are enablers and barriers. The questionnaire are designed based on this. Survey were evaluated by using Statistical Package for the Social Sciences (SPSS) version 23, in terms of correlation, reliability, central tendency and variability testing. The finding on this study in the term of framework will help SMEs to implementing GrMP. Framework formulate relates the critical factors from previous literature and enablers and barriers from survey based on perception of industries expert. GrMP for SMEs are the first step of environmental awareness and ecological responsibilties
Proceedings of Abstracts Engineering and Computer Science Research Conference 2019
© 2019 The Author(s). This is an open-access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. For further details please see https://creativecommons.org/licenses/by/4.0/. Note: Keynote: Fluorescence visualisation to evaluate effectiveness of personal protective equipment for infection control is © 2019 Crown copyright and so is licensed under the Open Government Licence v3.0. Under this licence users are permitted to copy, publish, distribute and transmit the Information; adapt the Information; exploit the Information commercially and non-commercially for example, by combining it with other Information, or by including it in your own product or application. Where you do any of the above you must acknowledge the source of the Information in your product or application by including or linking to any attribution statement specified by the Information Provider(s) and, where possible, provide a link to this licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/This book is the record of abstracts submitted and accepted for presentation at the Inaugural Engineering and Computer Science Research Conference held 17th April 2019 at the University of Hertfordshire, Hatfield, UK. This conference is a local event aiming at bringing together the research students, staff and eminent external guests to celebrate Engineering and Computer Science Research at the University of Hertfordshire. The ECS Research Conference aims to showcase the broad landscape of research taking place in the School of Engineering and Computer Science. The 2019 conference was articulated around three topical cross-disciplinary themes: Make and Preserve the Future; Connect the People and Cities; and Protect and Care
Feasibility study of a hand guided robotic drill for cochleostomy
The concept of a hand guided robotic drill has been inspired by an automated, arm supported robotic drill recently applied in clinical practice to produce cochleostomies without penetrating the endosteum ready for inserting cochlear electrodes. The smart tactile sensing scheme within the drill enables precise control of the state of interaction between tissues and tools in real-time. This paper reports development studies of the hand guided robotic drill where the same consistent outcomes, augmentation of surgeon control and skill, and similar reduction of induced disturbances on the hearing organ are achieved. The device operates with differing presentation of tissues resulting from variation in anatomy and demonstrates the ability to control or avoid penetration of tissue layers as required and to respond to intended rather than involuntary motion of the surgeon operator. The advantage of hand guided over an arm supported system is that it offers flexibility in adjusting the drilling trajectory. This can be important to initiate cutting on a hard convex tissue surface without slipping and then to proceed on the desired trajectory after cutting has commenced. The results for trials on phantoms show that drill unit compliance is an important factor in the design
A Graphical Adversarial Risk Analysis Model for Oil and Gas Drilling Cybersecurity
Oil and gas drilling is based, increasingly, on operational technology, whose
cybersecurity is complicated by several challenges. We propose a graphical
model for cybersecurity risk assessment based on Adversarial Risk Analysis to
face those challenges. We also provide an example of the model in the context
of an offshore drilling rig. The proposed model provides a more formal and
comprehensive analysis of risks, still using the standard business language
based on decisions, risks, and value.Comment: In Proceedings GraMSec 2014, arXiv:1404.163
Surface roughness modeling of CBN hard steel turning
Study in the paper investigate the influence of the cutting conditions parameters on surface roughness parameters during turning of hard steel with cubic boron nitrite cutting tool insert. For the modeling of surface roughness parameters was used central compositional design of experiment and artificial neural network as well. The values of surface roughness parameters Average mean arithmetic surface roughness (Ra) and Maximal surface roughness (Rmax) were predicted by this two-modeling methodology and determined models were then compared. The results showed that the proposed systems can significantly increase the accuracy of the product profile when compared to the conventional approaches. The results indicate that the design of experiments modeling technique and artificial neural network can be effectively used for the prediction of the surface roughness parameters of hard steel and determined significantly influential cutting conditions parameters
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