The　void　closure　model　is　urgently　needed　for　the　subsequent　hot　forming　process　of　additive　manufacturing　(AM)　products.　The　influence　of　temperature,　Lode　parameter,　and　hydrostatic　integration　(Gm)　on　void　closure　was　studied　by　representative　volume　element　(RVE)　simulations.　The　results　show　that　Gm　and　the　Lode　parameter　significantly　influence　void　closure,　and　the　temperature　effect　is　related　to　material　properties.　A　new　model　accounting　for　Gm　and　Lode　parameter　in　evaluating　void　closure　was　developed　using　linear　regression　with　an　average　error　of　2.1%　in　comparison　to　RVE　simulations.　X-ray　computed　tomography　(CT)　was　carried　out　at　different　high　reductions　for　the　AM　cylinder＇s　hot　forging　experiments.　The　new　and　stress-triaxiality-based　(STB)　models　were　integrated　into　the　ABAQUS　and　compared　with　the　CT　measurements.　Results　indicate　that　the　model　is　more　precise　than　the　STB　model,　suggesting　that　the　model　can　be　appropriately　applied　to　forecast　void　closure　during　the　hot　forging　process　for　AM　products.　©　2021　The　Society　of　Manufacturing　Engineers