Design a CPW antenna on rubber substrate for multiband applications

This paper presents a compact CPW monopole antenna on rubber substrate for multiband applications. The multi band applications (2.45 and 3.65 GHz) is achieved on this antenna design with better antenna performances. Specially this antenna focused on ISM band application meanwhile some of slots (S1, S2, S3) have been used and attained another frequency band at 3.65 GHz for WiMAX application. The achievement of the antenna outcomes from this design that the bandwidth of 520 MHz for first band, the second band was 76 MHz for WiMAX application and the radiation efficiency attained around 90%. Moreover, the realized gain was at 4.27 dBi which overcome the most of existing design on that field. CST microwave studio has been used for antenna simulation

Optimization of green electro-discharge machining using VIKOR

In the present study an efficient Multi-Criteria Decision Making (MCDM) approach has been proposed for optimization of green electro-discharge machining, because it is a commonly used non-traditional machining process. Green electro-discharge machining is a MultiCriteria Decision Making (MCDM) problem influenced by multiple performance criteria/attributes. These criteria attributes are of two types, qualitative and quantitative. Qualitative criteria estimates are generally based on previous experience and expert opinion on a suitable conversion scale. This conversion is based on human judgment; therefore, obtained result may not be accurate always. These are analyzed using AHP, QFD, Fuzzy techniques etc. reported in literature. So to find the solution of MCDM problems there should be converted quantitative criteria values into an equivalent single performance index called Multi-attribute Performance Index (MPI). Selection of the best alternative can be made in accordance with the MPI values of all the alternatives. In this text, present study highlights application of VIKOR method adapted from MCDM techniques for obtaining the accurate result. Detail methodology of VIKOR method has been illustrated in this report through a case study

Proceeding Of Mechanical Engineering Research Day 2016 (MERD’16)

This Open Access e-Proceeding contains a compilation of 105 selected papers from the Mechanical Engineering Research Day 2016 (MERD’16) event, which is held in Kampus Teknologi, Universiti Teknikal Malaysia Melaka (UTeM) - Melaka, Malaysia, on 31 March 2016. The theme chosen for this event is ‘IDEA. INSPIRE. INNOVATE’. It was gratifying to all of us when the response for MERD’16 is overwhelming as the technical committees received more than 200 submissions from various areas of mechanical engineering. After a peer-review process, the editors have accepted 105 papers for the e-proceeding that cover 7 main themes. This open access e-Proceeding can be viewed or downloaded at www3.utem.edu.my/care/proceedings. We hope that these proceeding will serve as a valuable reference for researchers. With the large number of submissions from the researchers in other faculties, the event has achieved its main objective which is to bring together educators, researchers and practitioners to share their findings and perhaps sustaining the research culture in the university. The topics of MERD’16 are based on a combination of fundamental researches, advanced research methodologies and application technologies. As the editor-in-chief, we would like to express our gratitude to the editorial board and fellow review members for their tireless effort in compiling and reviewing the selected papers for this proceeding. We would also like to extend our great appreciation to the members of the Publication Committee and Secretariat for their excellent cooperation in preparing the proceeding of MERD’16

The Effect of Storage Temperature for the Detection of Silver Nanoparticles via Engineered Biomolecules

Temperature plays an important role in biology as a way to regulate reaction. In this study, we report the effect of storage temperature (4, 25, and 37oC) for the detection of silver nanoparticles via engineered biomolecules by monitoring the fluorescence intensity. We genetically engineered a biomolecule consisting of silver binding peptide that fused with cellulose binding domain and green fluorescent protein (GFP). This modular protein was a genetically designed peptide, possesses unique and specific interaction with cellulose as a matrix immobilized surface and can be able to capture silver nanoparticle from wastewater solution. Samples were instrumentally analysed everyday. We aim to assess the long-term stability of our genetically modular protein. This strategy was demonstrated a rapid and green environmentally monitoring

Zero Order Degradation Rate of Vitamin C in Fresh Orange and Strawberry Juices without Any Preservatives during Storage

Fresh orange and strawberry are rich in vitamin C, which is an essensial nutrient to promote a healthy imunne system. Vitamin C is easily degraded through oxidation process into dehydroascorbic acid during storage. Therefore, it is important to study the factors influencing the degradation rate of vitamin C in fruit juices without any preservatives. The aims of this research were to study the kinetic degradation of vitamin C in fresh orange (concentrated and nonconcentrated) and strawberry juices during storage and how the temperature affects these kinetics. Fresh juices were stored at room, refrigerated and frozen temperature. The content of vitamin C in fresh juices were analyzed using direct iodometric titration. Kinetic study of vitamin C degradation for these juices were carried out under isothermal condition. The degradation rates of vitamin C in fresh fruit juices based on zero kinetic model were compared. At room temperature the degradation rates of vitamin C in strawberry juice were about ten times faster than those in the orange juice. At refrigerated temperature the degradation rates of vitamin C in orange and strawberry juices with sugar were twice lower than theirs without sugar addition

Inovação auxiliada por computador (CAI): uma análise bibliométrica de artigos publicados entre 2004 e 2013

In recent decades, innovation has come to be seen as a crucial factor for the competitiveness of organizations. From a process little orderly, innovation has come to be systematized, with the establishment of tools, methodologies and theories. A variety of computer programs have been created to support innovation, giving rise to a new category of tools, which is being called Computer Aided Innovation (CAI). This exploratory research seeks to understand more precisely the concept of CAI, as well as identify key publications, authors, institutions and regions in which it has been developed, besides seeking to identify gaps and trends of the topics covered in the area. Given the purpose of the research, it was decided to use bibliometrics, which allows obtaining the information indicated from the analysis of the main databases related to CAI. The research consists of 217 articles, published between 2004-2013. The methodological procedures to develop the research involved the following steps: a) raise the state of the art regarding the Computed Aided Innovation; b) Survey and data collection of scientific papers on CAI; c) categorization and bibliometric analysis and d) classify and analyze the topics covered. The results obtained through the bibliometric analysis revealed that there were 378 different authors, and authors have increased an average of 34.7% from 2004 to 2013. When checking the adhesion of the Lotka´s law to the field of CAI, It was observed that 72.8% of the authors had only one publication, 15% more than proposed by Lotka, than the area of CAI does not adjust to this law. The most productive authors were Runhua Tan (complete count) and Noel Leon (direct counting). The most cited author was Gaetano Cascini. The most productive country in the world is China, with 41% of publications, as well as having the largest number of researchers (42% of total) and the largest number of institutions. However, the country with the greatest relevance is France, because the French articles had 30.4% of the citations. The more productive institution is Hebei Universi ty of Technology, China, with 16% of the articles. The institution most frequently cited is INSA Strasbourg, France. By analyzing the topics covered, it was realized that the "Idea Management" category is more developed and the category "Management Patent" is the one with the least amount of work. It is considered that this research has contributed to give visibility to researchers, institutions and countries that have contributed to the development of CAI, besides recognizing the theoretical core that serves as the foundation of knowledge of the area. The theme CAI is extremely important for the improvement of the innovation process, enabling to innovate more efficiently and effectively.Nas últimas décadas, a inovação passou a ser vista como um fator crucial para a competitividade das organizações. De um processo pouco ordenado, a inovação tem passado a ser sistematizada, com o estabelecimento de ferramentas, metodologias e teorias. Uma variedade de programas computacionais têm sido criadas para apoiar a inovação, dando origem a uma nova categoria de ferramentas, que vem sendo denominada Computer Aided Innovation (CAI), ou Inovação Auxiliada por Computador. Esta pesquisa, de característica exploratória, busca compreender com maior exatidão o conceito de CAI, bem como identificar as principais publicações, autores, instituições e regiões nas quais o assunto tem sido desenvolvido, além de buscar identificar as lacunas e tendências dos temas abordados na área. Dada a finalidade da pesquisa, decidiu-se pelo uso da bibliometria e da análise de conteúdo para alcançar os objetivos estabelecidos. O universo da pesquisa constitui -se de 217 artigos, publicados no período de 2004 a 2013. Os procedimentos metodológicos para desenvolver a pesquisa envolveram os seguintes passos: a) levantar o estado da arte no que se refere a Inovação Auxiliada por Computador; b) levantar e coletar os dados dos artigos científicos em CAI; c) categorizar e fazer análise bibliométrica e d) classificar e analisar os temas abordados. Os resultados obtidos, por meio da análise bibliométrica, revelaram que houve 378 autores diferentes, e que a média de autores aumentou em 30,4% de 2004 a 2013. Ao verificar a aderência da lei de Lotka à área de CAI, observou-se que 72,8% dos autores tiveram apenas uma publicação, sendo 15% a mais do que o proposto por Lotka, ou seja, a área de CAI não se ajusta a esta lei. Os autores mais produtivos foram Runhua Tan (contagem completa) e Noel León (contagem direta). O autor mais citado foi Gaetano Cascini. O país mais produtivo do mundo é a China, com 41% das publicações, além de possuir o maior número de pesquisadores (42% do total) e o maior número de instituições. No entanto, o país com a maior relevância é a França, pois os artigos franceses tiveram 30,4% das citações. A instituição mais produtiva é Hebei University of Technology da China, com 16% dos artigos. A instituição mais citada é INSA Strasbourg, França. Ao analisar os temas abordados, percebeu-se que a categoria “Gestão de Ideias” é mais desenvolvida e a categoria “Gestão de Patentes” é a que possui a menor quantidade de trabalhos. Considera-se que esta pesquisa contribuiu para dar visibilidade aos pesquisadores, instituições e países que tem contribuído para o desenvolvimento do CAI, além de reconhecer o núcleo teórico que serve de alicerce do conhecimento da área. O tema CAI é de suma importância para a melhoria do processo de inovação, possibilitando inovar com mais eficiência e eficácia

A grey fuzzy approach to the selection of cutting process from the aspect of technological parameters

This study deals with the selection of the cutting process using the grey fuzzy relation approach. The analysis was performed using plasma arc machining, laser beam machining, and abrasive waterjet machining on three different workpiece thicknesses with different cutting speeds. The objective was to select the best cutting process considering several performance characteristics such as machining time, dimensional accuracy, kerf width, and surface roughness. Data normalization, grey relation coefficients, fuzzy inference system, and grey fuzzy relation grade are used to evaluate the machining performances of the machining processes. The developed fuzzy model can be used to study the effects of different cutting processes on technological features. The results show that the grey fuzzy technique can be effectively used for the analysis and selection of cutting processes.Web of Science1224art. no. 1258

Optimization of Operation Sequencing in CAPP Using Hybrid Genetic Algorithm and Simulated Annealing Approach

In any CAPP system, one of the most important process planning functions is selection of the operations and corresponding machines in order to generate the optimal operation sequence. In this paper, the hybrid GA-SA algorithm is used to solve this combinatorial optimization NP (Non-deterministic Polynomial) problem. The network representation is adopted to describe operation and sequencing flexibility in process planning and the mathematical model for process planning is described with the objective of minimizing the production time. Experimental results show effectiveness of the hybrid algorithm that, in comparison with the GA and SA standalone algorithms, gives optimal operation sequence with lesser computational time and lesser number of iterations