Milad Sadeghzadeh

Mechanical Engineering · 2018–2019

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 85 citations into it
• Statistical and Nonlinear Physics — 21 citations into it

Whom Milad Sadeghzadeh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. George V. Cybenko
2. Pouria Ahmadi

Papers from Milad Sadeghzadeh's perspective

Ordered by how strongly the researchers Milad Sadeghzadeh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Energy, exergy and exergoeconomic analysis of a steam power plant: A case study
2. Measurement of temperature-dependent thermal conductivity and viscosity of TiO2-water nanofluids
3. Conceptions for heat transfer correlation of nanofluids
4. Modelling and optimization of combined cycle power plant based on exergoeconomic and environmental analyses
5. Energy, exergy and thermoeconomic analysis of a combined cooling, heating and power (CCHP) system with gas turbine prime mover
6. Combined cycle plant efficiency increase based on the optimization of the heat recovery steam generator operating parameters
7. Energy–exergy analysis and economic investigation of a cogeneration and trigeneration ORC–VCC hybrid system utilizing biomass fuel and solar power
8. Thermodynamic analysis and thermoeconomic optimization of a dual pressure combined cycle power plant with a supplementary firing unit
9. Exergoeconomic analysis and optimization of combined heat and power production: A review
10. Multilayer feedforward networks are universal approximators

Their papers

• Utilization of hybrid nanofluids in solar energy applications: A review (2019) — 147 citations
• Thermoelectric cooler and thermoelectric generator devices: A review of present and potential applications, modeling and materials (2019) — 486 citations
• Thermodynamic and economic analysis of performance evaluation of all the thermal power plants: A review (2018) — 120 citations
• Development of multilayer perceptron artificial neural network (MLP-ANN) and least square support vector machine (LSSVM) models to predict Nusselt number and pressure drop of TiO2/water nanofluid flows through non-straight pathways (2018) — 71 citations
• Factorial experimental design for the thermal performance of a double pipe heat exchanger using Al2O3-TiO2 hybrid nanofluid (2018) — 169 citations