The　WAAM　(Wire　Arc　Additive　Manufacturing)　process　is　well-respected　because　of　its　low　cost　and　high　deposition　efficiency;　nevertheless,　the　process　has　the　limitations　of　high　heat　input　and　low　forming　accuracy.　Hybrid　manufacturing　processes　employing　both　additive　and　subtractive　processes　can　effectively　reduce　shape　error.　The　predictive　modeling　of　surface　roughness　in　thermally　assisted　machining　is　described　in　this　paper　on　the　basis　of　three　important　parameters:　feed　per　tooth,　spindle　speed,　and　workpiece　temperature.　The　predictive　model　indicates　that　temperature　has　a　very　significant　influence　on　the　surface　quality.　An　experimental　study　on　thermally　assisted　machining　was　performed　to　obtain　the　variation　law　of　cutting　surface　quality　with　temperature　in　order　to　determine　the　optimal　process　interval　of　subtractive　processes.　Through　finite　element　simulation　of　thermally　assisted　machining,　the　influence　law　of　external　main　cutting　force　and　the　internal　mean　stress　of　the　cutting　material　were　determined.