International Journal of Manufacturing Research http://www.inderscience.com/browse/index.php?journalID=198&year=2012&vol=7&issue=1 Inderscience Publishers Ltd en-uk International Journal of Manufacturing Research 1750-0591 1750-0605 © 2012 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijmr_scoverijmr.jpg http://www.inderscience.com/browse/index.php?journalID=198&year=2012&vol=7&issue=1 http://www.inderscience.com/link.php?id=45240 Enterprise web provides a convenient, extendable, integrated platform for information sharing and knowledge management. However, it has to deal with the increasing complexity, heterogeneity and amount of information processed. This paper proposes to use Semantic Web Services (SWSs) to add higher level of semantic functionalities to current enterprise webs, enhancing their usability and usefulness. This paper explores the use of SWSs in enterprise web and discusses SWSs approach for designing enterprise web applications. An SWS-oriented model is presented with resources and services described by ontology and processed through SWS, resulting in integrated administration, interoperability and automated reasoning. [Received 3 September 2009; Revised 13 July 2010; Accepted 21 October 2010]. Applying Semantic Web Services to Enterprise Web
Yang Hu; Qingping Yang; Xizhi Sun; Peng Wei
International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 1 - 8
Enterprise web provides a convenient, extendable, integrated platform for information sharing and knowledge management. However, it has to deal with the increasing complexity, heterogeneity and amount of information processed. This paper proposes to use Semantic Web Services (SWSs) to add higher level of semantic functionalities to current enterprise webs, enhancing their usability and usefulness. This paper explores the use of SWSs in enterprise web and discusses SWSs approach for designing enterprise web applications. An SWS-oriented model is presented with resources and services described by ontology and processed through SWS, resulting in integrated administration, interoperability and automated reasoning. [Received 3 September 2009; Revised 13 July 2010; Accepted 21 October 2010].

]]> 10.1504/IJMR.2012.045240 International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 1 - 8 Yang Hu; Qingping Yang; Xizhi Sun; Peng Wei School of Engineering and Design, Brunel University, Uxbridge, Middlesex UB8 3PH, UK. ' School of Engineering and Design, Brunel University, Uxbridge, Middlesex UB8 3PH, UK. ' School of Engineering and Design, Brunel University, Uxbridge, Middlesex UB8 3PH, UK. ' School of Engineering and Design, Brunel University, Uxbridge, Middlesex UB8 3PH, UK semantic web services ontology enterprise web e-business SOA service-oriented architecture electronic business information sharing knowledge management. 2012-02-01T23:20:50-05:00 7 1 1 8 2012-02-01T23:20:50-05:00 http://www.inderscience.com/link.php?id=45241 This paper presents a study on the effect of process parameter on surface roughness in end milling process. Response surface methodology was employed to create a model to predict surface roughness in terms of machining parameters such as helix angle of cutting tool, spindle speed, feed rate, axial and radial depth of cut. The experiments were conducted on Al 6063 by HSS end mill cutter and surface roughness value was measured using Surftest SJ201. The adequacy of the model was verified using analysis of variance. The direct and interaction effect of the machining parameter with surface roughness were analysed. Neural network model was developed to predict surface roughness. Error percentages of both predicted response of response surface and neural model are found to be less than 5%. [Received 16 April 2010; Revised 30 September 2010; Accepted 30 December 2010] Experimental evaluation of surface roughness for end milling of Al 6063: response surface and neural network model
P.S. Sivasakthivel; V. Vel Murugan; R. Sudhakaran
International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 9 - 25
This paper presents a study on the effect of process parameter on surface roughness in end milling process. Response surface methodology was employed to create a model to predict surface roughness in terms of machining parameters such as helix angle of cutting tool, spindle speed, feed rate, axial and radial depth of cut. The experiments were conducted on Al 6063 by HSS end mill cutter and surface roughness value was measured using Surftest SJ201. The adequacy of the model was verified using analysis of variance. The direct and interaction effect of the machining parameter with surface roughness were analysed. Neural network model was developed to predict surface roughness. Error percentages of both predicted response of response surface and neural model are found to be less than 5%. [Received 16 April 2010; Revised 30 September 2010; Accepted 30 December 2010]

]]> 10.1504/IJMR.2012.045241 International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 9 - 25 P.S. Sivasakthivel; V. Vel Murugan; R. Sudhakaran School of Mechanical Engineering, SASTRA University, Thanjavur 613 401, Tamil Nadu, India. ' Sree Sakthi Engineering College, Coimbatore 641 104, Tamil Nadu, India. ' Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore 641 049, Tamil Nadu, India response surface methodology RSM neural networks analysis of variance surface roughness mathematical modelling end milling ANOVA surface quality aluminium. 2012-02-01T23:20:50-05:00 7 1 9 25 2012-02-01T23:20:50-05:00 http://www.inderscience.com/link.php?id=45242 The repair of worn-out components requires the extraction of their actual geometry. To acquire the surface contour, a laser displacement sensor and a CNC motion system are typically used. One of the factors that affect the measuring accuracy is the sensor 's resolution. A high resolution sensor usually has a short measuring range. Therefore, a contour with a large peak-to-valley height cannot usually be measured using a short range sensor. In this research, a measurement system of tracking target surface was developed. The proposed measurement system has been used for repair of worn-out components using laser cladding. [Received 6 May 2011; Revised 2 September 2011; Accepted 5 September 2011] A measurement system with contour tracking for repair of components
Yangsheng Li; Lijue Xue
International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 26 - 41
The repair of worn-out components requires the extraction of their actual geometry. To acquire the surface contour, a laser displacement sensor and a CNC motion system are typically used. One of the factors that affect the measuring accuracy is the sensor 's resolution. A high resolution sensor usually has a short measuring range. Therefore, a contour with a large peak-to-valley height cannot usually be measured using a short range sensor. In this research, a measurement system of tracking target surface was developed. The proposed measurement system has been used for repair of worn-out components using laser cladding. [Received 6 May 2011; Revised 2 September 2011; Accepted 5 September 2011]

]]> 10.1504/IJMR.2012.045242 International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 26 - 41 Yangsheng Li; Lijue Xue Industrial Materials Institute, National Research Council Canada, 800 Collip Circle, London, Ontario N6G 4X8, Canada. ' Industrial Materials Institute, National Research Council Canada, 800 Collip Circle, London, Ontario N6G 4X8, Canada component repair laser cladding measurement displacement sensors contour tracking CNC motion systems surface contours worn-out components feature extraction. 2012-02-01T23:20:50-05:00 7 1 26 41 2012-02-01T23:20:50-05:00 http://www.inderscience.com/link.php?id=45243 Laser beam welding of AISI 304 austenitic stainless steel is performed by varying beam power, welding speed, beam angle and gas flow rate to identify the influencing process parameters on weld bead geometry. Finite Element (FE) simulations are carried out using FE software SYSWELD considering the thermo-physical properties of the base material. A three-dimensional conical Gaussian heat source is employed for performing non-linear thermal analysis. The transient temperature profile and weld bead dimensions; depth of penetration and bead width are calculated by FE simulation. The simulated bead profile is compared with the experimentally measured profile and found to be very well correlated. [Received 5 March 2010; Revised 19 October 2010; Accepted 7 January 2011] Finite Element analysis of heat distribution in laser beam welding of AISI 304 Stainless Steel sheet
K.R. Balasubramanian; T. Suthakar; K. Sankaranarayanasamy; G. Buvanashekaran
International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 42 - 58
Laser beam welding of AISI 304 austenitic stainless steel is performed by varying beam power, welding speed, beam angle and gas flow rate to identify the influencing process parameters on weld bead geometry. Finite Element (FE) simulations are carried out using FE software SYSWELD considering the thermo-physical properties of the base material. A three-dimensional conical Gaussian heat source is employed for performing non-linear thermal analysis. The transient temperature profile and weld bead dimensions; depth of penetration and bead width are calculated by FE simulation. The simulated bead profile is compared with the experimentally measured profile and found to be very well correlated. [Received 5 March 2010; Revised 19 October 2010; Accepted 7 January 2011]

]]> 10.1504/IJMR.2012.045243 International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 42 - 58 K.R. Balasubramanian; T. Suthakar; K. Sankaranarayanasamy; G. Buvanashekaran Department of Mechanical Engineering, National Institute of Technology, Tiruchirappalli 622015, Tamil Nadu, India. ' Department of Mechanical Engineering, National Institute of Technology, Tiruchirappalli 622015, Tamil Nadu, India. ' Department of Mechanical Engineering, National Institute of Technology, Tiruchirappalli 622015, Tamil Nadu, India. ' Laser Materials Processing Division, Welding Research Institute, BHEL, Tiruchirappalli 622014, Tamil Nadu, India finite element analysis FEA heat distribution laser beam welding temperature distribution process parameters stainless steel laser beam power welding speed laser beam angle gas flow weld bead geometry simulation. 2012-02-01T23:20:50-05:00 7 1 42 58 2012-02-01T23:20:50-05:00 http://www.inderscience.com/link.php?id=45244 Energy security, economy, environment sustainability are all driving the USA to develop alternative liquid transportation fuels that are domestically produced and environmental friendly. Bioethanol produced from cellulosic biomass can significantly reduce the use of fossil fuels in the transportation section. However, significant hurdles must be overcome for cost-effective manufacturing of cellulosic bioethanol. Cellulosic feedstocks have a low bulk density, causing high costs in transportation and storage. To address this problem, this paper reports an experimental investigation on ultrasonic-vibration-assisted (UV-A) pelleting of wheat straw. Results show that pellet density and durability were greatly improved with the assistance of ultrasonic vibration. [Received 3 July 2010; Revised 29 October 2010; Accepted 5 December 2010] Ultrasonic-vibration-assisted pelleting of wheat straw: an experimental investigation
M. Zhang; X.X. Song; Z.J. Pei; T.W. Deines; Clyde Treadwell
International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 59 - 71
Energy security, economy, environment sustainability are all driving the USA to develop alternative liquid transportation fuels that are domestically produced and environmental friendly. Bioethanol produced from cellulosic biomass can significantly reduce the use of fossil fuels in the transportation section. However, significant hurdles must be overcome for cost-effective manufacturing of cellulosic bioethanol. Cellulosic feedstocks have a low bulk density, causing high costs in transportation and storage. To address this problem, this paper reports an experimental investigation on ultrasonic-vibration-assisted (UV-A) pelleting of wheat straw. Results show that pellet density and durability were greatly improved with the assistance of ultrasonic vibration. [Received 3 July 2010; Revised 29 October 2010; Accepted 5 December 2010]

]]> 10.1504/IJMR.2012.045244 International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 59 - 71 M. Zhang; X.X. Song; Z.J. Pei; T.W. Deines; Clyde Treadwell Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA. ' Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA. ' Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA. ' Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA. ' Sonic-Mill, 7500 Bluewater Road NW, Albuquerque, NM 87121, USA cellulosic bioethanol pellet density pellet durability wheat straw pelleting ultrasonic vibration alternative fuels biofuel. 2012-02-01T23:20:50-05:00 7 1 59 71 2012-02-01T23:20:50-05:00 http://www.inderscience.com/link.php?id=45245 A security layer for the popular utility Distributed Network Protocol (DNP) is proposed, limiting the effectiveness of cyber attacks on critical infrastructures with essential confidentiality. Ongoing automation of critical infrastructures, including power, gas and water, increases the responsiveness of control operations and the number of utility devices. This ongoing automation, therefore, increases cyber attacker capabilities to disrupt utility operations and, therefore, create serious security challenges. These security challenges result in manufacturer challenges that are not readily met by current commercial security implementations. The security layer presented in this paper meets the security challenges and manufacturer challenges and handles utility characteristics. [Received 27 February 2010; Revised 10 August 2010; Accepted 18 December 2010] Critical infrastructure protection security layer for DNP3 devices
Farhad Nabhani; Todd Mander; Simon Hodgson; Paul Shelton
International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 72 - 85
A security layer for the popular utility Distributed Network Protocol (DNP) is proposed, limiting the effectiveness of cyber attacks on critical infrastructures with essential confidentiality. Ongoing automation of critical infrastructures, including power, gas and water, increases the responsiveness of control operations and the number of utility devices. This ongoing automation, therefore, increases cyber attacker capabilities to disrupt utility operations and, therefore, create serious security challenges. These security challenges result in manufacturer challenges that are not readily met by current commercial security implementations. The security layer presented in this paper meets the security challenges and manufacturer challenges and handles utility characteristics. [Received 27 February 2010; Revised 10 August 2010; Accepted 18 December 2010]

]]> 10.1504/IJMR.2012.045245 International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 72 - 85 Farhad Nabhani; Todd Mander; Simon Hodgson; Paul Shelton School of Science and Technology, University of Teesside, Middlesbrough, Tees Valley, TS1 3BA, UK. ' Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada. ' School of Science and Technology, University of Teesside, Middlesbrough, Tees Valley, TS1 3BA, UK. ' School of Science and Technology, University of Teesside, Middlesbrough, Tees Valley, TS1 3BA, UK DNP distributed network protocol DNP3 security layer critical infrastructures infrastructure security QoS quality of service cyber attacks utilities manufacturing. 2012-02-01T23:20:50-05:00 7 1 72 85 2012-02-01T23:20:50-05:00 http://www.inderscience.com/link.php?id=45246 This paper reports on a critical review of the Importance-Performance Analysis (IPA) method using three different measures: customer self-stated importance, regression analysis and regression analysis with dummy variables. The study confirms that product attribute importance is an antecedent of attribute performance. The importance of product attributes from the customers point of view may change with the fluctuation in product performance level. The results of this research help in measuring the impact of service attribute performance on customer satisfaction, which in turn can help companies to identify the product attributes that have higher returns for the business. [Received 9 October 2009; Revised 4 April 2010; Accepted 4 April 2010] Measuring the importance of product attributes and its implication in resource allocation
Vahid Pezeshki; Alireza Mousavi
International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 86 - 97
This paper reports on a critical review of the Importance-Performance Analysis (IPA) method using three different measures: customer self-stated importance, regression analysis and regression analysis with dummy variables. The study confirms that product attribute importance is an antecedent of attribute performance. The importance of product attributes from the customers point of view may change with the fluctuation in product performance level. The results of this research help in measuring the impact of service attribute performance on customer satisfaction, which in turn can help companies to identify the product attributes that have higher returns for the business. [Received 9 October 2009; Revised 4 April 2010; Accepted 4 April 2010]

]]> 10.1504/IJMR.2012.045246 International Journal of Manufacturing Research, Vol. 7, No. 1 (2012) pp. 86 - 97 Vahid Pezeshki; Alireza Mousavi School of Engineering and Design, Brunel University, Middlesex, UK. ' School of Engineering and Design, Brunel University, Middlesex, UK customer satisfaction importance-performance analysis resource allocation product attributes product performance. 2012-02-01T23:20:50-05:00 7 1 86 97 2012-02-01T23:20:50-05:00