Profile photo of Guru Madireddy

Guru Madireddy

Research Scientist II

Office: Nucor Mineral Industries Bldg.  231  (Campus Map)

Education

Osmania University - Mechanical Engineering BE
University of Nebraska-Lincoln - Mechanical Engineering M.S.
University of Nebraska-Lincoln - Mechanical Engineering Ph.D.

Brief Bio

Dr. Madireddy is a Research Scientist in Arbegast Materials Processing and Joining (AMP) Laboratory. At the AMP lab Dr. Madireddy is leading computational research efforts in various manufacturing technologies such as additive manufacturing, ballistic impact, cold spray, and friction stir processing technologies. Prior to his appointment at SD Mines, Dr. Madireddy worked as additive manufacturing scientist at Sentient Science and as postdoctoral researcher at Oak Ridge National Laboratory.

Research Expertise

Dr. Madireddy’s research expertise lies at the intersection of manufacturing technologies, hybrid processing, and computational modeling. His work focuses on understanding and controlling residual stress formation, distortion, and microstructural evolution in various manufacturing processes such as directed energy deposition, powder bed fusion, and wire arc additive manufacturing, friction stir processing, cold spray, and ballistic impact testing. He has pioneered research in hybrid additive manufacturing (hybrid-AM) that integrates additive with secondary processes such as surface treatment processes (e.g., laser shock peening and ultrasonic impact treatment) or subtractive processes to enhance part/process performance. 

Dr. Madireddy has extensive experience developing finite element models to simulate thermo-mechanical behavior, phase transformations, and process-structure-property relationships. Overall, his research aims to advance next-generation manufacturing technologies by integrating computational modeling with in-situ monitoring, microstructural and mechanical characterization (SEM/EBSD, XRD, hole drilling, microhardness, fatigue and tensile testing), and machine learning based process mapping to optimize process parameters and mitigate defects across various manufacturing processes.