The　impeller,　regarded　as　the　central　component　of　a　centrifugal　pump,　plays　a　pivotal　role　in　dictating　overall　performance.　Overcoming　challenges　arising　from　the　complexity　of　design　parameters　and　the　time-intensive　nature　of　the　design　process　has　been　a　persistent　obstacle　to　widespread　adoption.　In　this　study,　we　integrated　ANSYS-CFX　2023　software　with　innovative　inverse　design　techniques　to　optimize　the　impeller　design　within　a　centrifugal　pump　system.　Our　investigation　reveals　groundbreaking　insights,　highlighting　the　significant　influence　of　both　blade　load　and　shaft　surface　geometry　on　impeller　performance.　Notably,　through　load　optimization,　substantial　enhancements　in　centrifugal　pump　efficiency　were　achieved,　demonstrating　improvements　of　1.8%　and　1.7%　under　flow　conditions　of　1.0　Q　and　0.8　Q,　respectively.　Further,　the　efficiency　gains　of　0.44%　and　0.36%　were　achieved　in　their　corresponding　flow　conditions.　The　optimization　of　blade　load　and　shaft　surface　configuration　notably　facilitated　a　more　homogenized　internal　flow　pattern　within　the　impeller.　These　novel　findings　contribute　substantively　to　the　theoretical　foundations　underpinning　centrifugal　pump　impeller　design,　offering　engineers　a　valuable　reference　to　elevate　their　performance.　Our　utilization　of　ANSYS-CFX　software　in　conjunction　with　inverse　design　methodologies　showcases　a　promising　avenue　for　advancing　impeller　design,　ultimately　culminating　in　superior　efficiency　and　performance　for　centrifugal　pumps.