A 3D Printed W-band Slotted Waveguide Array Antenna Optimized using Machine Learning

Jinpil Tak, Adnan Kantemur, Yashika Sharma, Hao Xin

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

A 3D printed W-band slotted waveguide array antenna (SWAA) is proposed. The proposed SWAA consists of three different sections (two horizontal ones and a vertical one) such as a radiating waveguide array with 10 x 10 slots array with an aperture size of 31 mm x 31.4 mm, a coupling waveguide to feed the radiating waveguide array, and a vertical waveguide to feed the coupling waveguide. Machine learning technique based on artificial neural network algorithm is used to optimize the design. The optimized SWAA is fabricated using SLA 3D printing and then is metallized with silver on the inner and outer surfaces by Jet metal spraying method. To metallize the inner and outer surfaces of the monolithic structure, non-radiating slots are added on the surface of the designed SWAA. The surface roughness is taken into account by employing the Huray-model methodology in simulation. The SWAA has a 22.5 dBi far-field gain, a -13.5 dB side lobe level and 10 degrees HPBW at 78.7 GHz in measurement.

Original languageEnglish (US)
JournalIEEE Antennas and Wireless Propagation Letters
DOIs
StateAccepted/In press - Jul 19 2018

Fingerprint

Antenna arrays
Learning systems
Waveguides
Antenna feeders
Spraying
Printing
Silver
Surface roughness
Neural networks
Metals

Keywords

  • 3D printing
  • Antenna arrays
  • antenna arrays
  • artificial neural network
  • Couplings
  • Metals
  • Rough surfaces
  • slotted waveguide
  • Surface roughness
  • Surface treatment
  • Three-dimensional displays
  • W-band

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

A 3D Printed W-band Slotted Waveguide Array Antenna Optimized using Machine Learning. / Tak, Jinpil; Kantemur, Adnan; Sharma, Yashika; Xin, Hao.

In: IEEE Antennas and Wireless Propagation Letters, 19.07.2018.

Research output: Contribution to journalArticle

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