An expert-based model for selecting the most suitable substrate material type for antenna circuits

Quality and properties of microwave circuits depend on all the circuit components. One of these components is the substrate. The process of substrate material selection is a decision-making problem that involves multicriteria with objectives that are diverse and conflicting. The aim of this work was to select the most suitable substrate material type to be used in antennas in the microwave frequency range that gives best performance and reliability of the substrate. For this purpose, a model was built to ease the decision-making that includes hierarchical alternatives and criteria. The substrate material type options considered were limited to fiberglass-reinforced epoxy laminates (FR4 εr = 4.8), aluminium (III) oxide (alumina εr = 9.6), gallium arsenide III–V compound (GaAs εr = 12.8) and PTFE composites reinforced with glass microfibers (Duroid εr = 2.2–2.3). To assist in building the model and making decisions, the analytical hierarchy process (AHP) was used. The decision-making process revealed that alumina substrate material type was the most suitable choice for the antennas in the microwave frequency range that yields best performance and reliability. In addition, both the size of the circuit and the loss tangent of the substrates were found to be the most contributing subfactors in the antenna circuit specifications criterion. Experimental assessments were conducted utilising The Expert Choice™ software. The judgments were tested and found to be precise, consistent and justifiable, and the marginal inconsistency values were found to be very narrow. A sensitivity analysis was also presented to demonstrate the confidence in the drawn conclusions.

[1]  J. Anguera,et al.  Metallized foams for fractal-shaped microstrip antennas , 2008, IEEE Antennas and Propagation Magazine.

[2]  Chu-Hsuan Sha,et al.  Low-Temperature Solid-State Silver Bonding of Silicon Chips to Alumina Substrates , 2011, IEEE Transactions on Components, Packaging and Manufacturing Technology.

[3]  M. Lashab,et al.  Rectangular microstrip antenna with uniaxial bi-anisotropic chiral substrate-superstrate , 2011 .

[4]  Caroline Maria de Miranda Mota,et al.  A multi-attribute decision model for portfolio selection aiming to replace technologies in industrial motor systems , 2012 .

[5]  Faris M. AL-Oqla,et al.  A DECISION-MAKING MODEL FOR SELECTING THE GSM MOBILE PHONE ANTENNA IN THE DESIGN PHASE TO INCREASE OVER ALL PERFORMANCE , 2012 .

[6]  Mike Golio,et al.  RF and microwave circuits, measurements, and modeling , 2007 .

[7]  José María Moreno-Jiménez,et al.  The multicriteria selection of products in technological diversification strategies: an application to the Spanish automotive industry based on AHP , 2014 .

[8]  Heng Li,et al.  Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems , 2008 .

[9]  Yu Jian Cheng,et al.  Compact substrate-integrated waveguide bandpass rat-race coupler and its microwave applications , 2012 .

[10]  Asok De,et al.  Effect of different substrates on Compact stacked square Microstrip Antenna , 2010, ArXiv.

[11]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[12]  Mohamad I. Al-Widyan,et al.  Selecting the most appropriate corrective actions for energy saving in existing buildings A/C in hot arid regions , 2014 .

[13]  Jaume Anguera,et al.  METALLIZED FOAMS FOR ANTENNA DESIGN: APPLICATION TO FRACTAL-SHAPED SIERPINSKI-CARPET MONOPOLE , 2010 .

[14]  Y. Antar,et al.  Perturbation Analysis of a Planar Periodic Leaky-Wave Antenna Fed by Surface Waves , 2011, IEEE Antennas and Wireless Propagation Letters.

[15]  Feng Wei,et al.  Switchable bandpass filter with two-state frequency responses , 2011 .

[16]  M. Torres-Cisneros,et al.  Analysis of Equivalent Antennas in RT Duroid 5880 and 5870 for GPS Operation Frequency , 2010, 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference.

[17]  M. Al-Widyan,et al.  Utilization of Supplementary Energy Sources for Cooling In Hot Arid Regions via Decision-Making Model , 2011 .

[18]  Y. Yun Short-wavelength transmission line with variable characteristic impedance for application to matching components on MMIC , 2010 .

[19]  Mohd Sapuan Salit,et al.  Combined multi-criteria evaluation stage technique as an agro waste evaluation indicator for polymeric composites: date palm fibers as a case study. , 2014 .

[20]  N. K. Saxena,et al.  Microstrip Rectangular Patch Antenna Printed on LiTi Ferrite with Perpendicular DC Magnetic Biasing , 2010 .

[21]  P. Pons,et al.  Dielectric layers with gradual properties , 2010, 2010 10th IEEE International Conference on Solid Dielectrics.

[22]  James Scott,et al.  A review of multi-criteria decision-making methods for bioenergy systems , 2012 .

[23]  Calvin Lee Kwan,et al.  Influence of local environmental, social, economic and political variables on the spatial distribution of residential solar PV arrays across the United States , 2012 .

[24]  Wei Hong,et al.  A Ka-Band Reflectarray Implemented With a Single-Layer Perforated Dielectric Substrate , 2012, IEEE Antennas and Wireless Propagation Letters.

[25]  Rahul Vaish,et al.  Magnetic material selection using multiple attribute decision making approach , 2012 .

[26]  Ahmed A. Kishk,et al.  Dielectric resonator reflectarray with two DRA sizes and varying slot loading , 2010, 2010 IEEE Antennas and Propagation Society International Symposium.

[27]  Faris M. AL-Oqla,et al.  Natural fiber reinforced polymer composites in industrial applications: feasibility of date palm fibers for sustainable automotive industry , 2014 .

[28]  Tharek Abdul Rahman,et al.  A study on effectiveness of FR4 as a dielectric material for radial line slot array antenna for wireless backhaul application , 2011, The 17th Asia Pacific Conference on Communications.

[29]  Fikri Dweiri,et al.  Material selection using analytical hierarchy process , 2006, Int. J. Comput. Appl. Technol..