Mr Daiki Ikeuchi

  • University of Cambridge
  • Graduate Student, Mechanical Engineering
  • United Kingdom

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My Publications

Cr-Mo-V-W high-entropy alloy (HEA) is studied by DFT, CALPHAD, Alloy Search and Predict...

  • Scripta Materialia
  • January 2019
  • The present work applies the Alloy Search and Predict (ASAP) method to the design of an oxidation- resistant refractory HEA based on three selection criteria, which are (1) to maximise melting temp...

Application of the Peltier sub-cooled trans-critical CO2 heat pump system for water hea...

  • Energy Conversion and Management
  • April 2019
  • Although the Peltier sub-cooled trans-critical CO2 cycle concept has been applied for refrigeration, which typically involves discharging the heat into ambient air, this system is rarely considered...

Neural Network Modelling of Track Profile in Cold Spray Additive Manufacturing

  • Materials
  • September 2019
  • This paper presents a very detailed neural network modelling approach to predict multiple profile points in cold spray additive manufacturing at both normal and off-normal spray angles. The detail...

Data-Efficient Neural Network for Track Profile Modelling in Cold Spray Additive Manufa...

  • Applied Sciences
  • February 2021
  • Cold spray is emerging as an additive manufacturing technique, particularly advantageous when high production rate and large build sizes are in demand. To further accelerate technology’s industrial...