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You searched for: Author/Creator Nazmi, Nurhazimah

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1. A machine learning approach to estimate magnetorheological suspension composition based on magnetic field dependent-rheological properties. (31st August 2021)

2. Effects of corrosion rate of the magnetic particles on the field-dependent material characteristics of silicone based magnetorheological elastomers. (2nd July 2020)

3. Effects of magnetic field and particles content on rheology and resistivity behavior of magnetorheological elastomer with embedded cobalt particles. (23rd March 2021)

4. Effects of silica on mechanical and rheological properties of EPDM-based magnetorheological elastomers. (13th September 2021)

6. Enhancement of the rheological properties of magnetorheological elastomer via polystyrene‐grafted carbonyl iron particles. Issue 34 (16th April 2021)

7. Prediction for magnetostriction magnetorheological foam using machine learning method. Issue 34 (16th July 2022)