2219　aluminum　alloy　rings　are　important　part　of　liquid　cryogenic　rocket　fuel　tanks.　Residual　stress　is　inevitably　introduced　in　the　forming　process　of　the　rings　due　to　the　nonlinear　thermomechanical　coupling　conditions,　which　will　affect　its　mechanical　properties,　fatigue　properties,　corrosion　resistance,　and　dimensional　stability.　Thermal　vibratory　stress　relief　(TVSR)　has　great　potential　in　reducing　residual　stress,　and　process　optimization　of　TVSR　is　necessary　to　further　improve　its　application,　but　it　is　rarely　reported.　In　this　study,　process　optimization　of　roll　formed　2219　aluminum　alloy　rings　is　conducted.　The　influence　of　vibration　amplitude,　vibration　time,　vibration　frequency,　heating　time,　holding　time,　and　cooling　time　on　TVSR　treatment　are　investigated.　Results　show　that　the　maximum　equivalent　residual　stress　of　2219　aluminum　alloy　rings　can　be　reduced　by　93.6%　after　optimized　TVSR　treatment.　With　the　increase　in　vibration　time,　heating　time,　holding　time,　and　cooling　time,　the　maximum　equivalent　stress　decreases.　However,　the　increase　in　the　vibration　amplitude　results　in　an　increase　in　the　maximum　equivalent　stress.　Further,　a　genetically　optimized　artificial　neural　network　intelligent　optimization　algorithm　is　applied　to　quickly　predict　the　TVSR　effect　of　2219　aluminum　alloy　rings.