All Stories

  1. Opportunities and challenges of bamboo fiber composites in additive manufacturing: A comprehensive review

    Article • AIP Advances, September 2024, American Institute of Physics

    SARAVANAN R, Dr Rustem R Zairov

  2. Exponential smoothing method against the gradient boosting machine learning algorithm-based model for materials forecasting to minimize inventory

    Article • AIP Advances, June 2024, American Institute of Physics

    SARAVANAN R, JAYANT GIRI

  3. Materials requirement prediction challenges addressed through SDM and MEIO

    Article • AIP Advances, May 2024, American Institute of Physics

    ahmed Ibrahim, SARAVANAN R, JAYANT GIRI

  4. Testing the auto-regressive integrated moving average approach vs the support vector machines-based model for materials forecasting to reduce inventory

    Article • AIP Advances, May 2024, American Institute of Physics

    ahmed Ibrahim, SARAVANAN R, JAYANT GIRI

  5. Flax/ramie hybrid fibers enhanced with SiC nanoparticles

    Article • AIP Advances, May 2024, American Institute of Physics

    SARAVANAN R

  6. Investigation of chemically treated jute/kenaf/glass fiber with TiO2 nano-filler for tensile and impact characteristics

    Article • AIP Advances, April 2024, American Institute of Physics

    SARAVANAN R, Sajjad Haider, JAYANT GIRI

  7. Six sigma’s ECRS technique to down cost and time of manufacturing – An experimental investigation

    Article • January 2020, American Institute of Physics

    SARAVANAN R

  8. Influence of chemical treatment in synthesize and characterization sisal/glass hybrid composite

    Article • January 2020, American Institute of Physics

    Vijayan V, S BASKAR, SARAVANAN R