Ukufunda komshini ngokushesha kuba ngelinye lamathuluzi anamandla kakhulu atholakala kochwepheshe be-CAD, okusiza ukwenza imisebenzi ephindaphindwayo isebenze ngokuzenzakalela, ukwenza ngcono imiklamo, nokusheshisa imisebenzi yobunjiniyela. Kochwepheshe be-CAD, kuyisinyathelo esikhulu esilandelayo ekuklameni nasebunjiniyelani. Kudlula kakhulu izikripthi ezilula nama-macro, kuletha ukuzenzekela okuhlakaniphile kanye nobuciko obuqhutshwa idatha. Uma uletha i-ML emsebenzini wakho wokusebenza, ingashintsha indlela osingatha ngayo yonke into, kusukela emisebenzini yansuku zonke kuya ekulingiseni okuyinkimbinkimbi. Lokhu kukukhulula ukuthi ugxile emibonweni emisha.
Uma usukulungele ukubheka ngale kwengxoxo bese ubona ukuthi i-ML isebenza kanjani ngempela, lo mhlahlandlela uzokukhombisa ukuthi ishintsha kanjani umhlaba we-CAD nokuthi yini ongayenza ukuze uqale ukuyisebenzisa ngempumelelo.
Ukwenza Imisebenzi Ephindaphindwayo ye-CAD Ngokuzenzakalelayo
Wonke umklami uyazi ubuhlungu bemisebenzi ephindaphindwayo, enenani eliphansi. Cabanga ngokuhlanza i-geometry engenisiwe, ukwengeza ama-fillets nama-chamfers ajwayelekile, noma ukwenza ukubukwa kokudweba kwe-2D. Ngenkathi izikripthi zingenza ngokuzenzakalelayo izinyathelo ezihleliwe, ukufunda komshini kuthatha izinto phambili. Imodeli ye-ML ingafunda kulokho okwenzile esikhathini esidlule ukuqagela ukuthi uzokwenzani ngokulandelayo.
Isibonelo, i-algorithm ingabheka izinkulungwane zemiklamo yakho yakudala ukuthola ukuthi uvame ukubhekana kanjani nezinkinga ezithile zejometri noma ubeke izingxenye ezijwayelekile. Ngokuhamba kwesikhathi, ingaqala ukuphakamisa noma ngisho nokwenza lezi zenzo zibe ngokuzenzakalela ngokunemba okukhulu. Kufana nokuba nomsizi ohlakaniphile oqonda isitayela sakho sokuklama. Izinkampani ezinkulu zesofthiwe sezivele zifuna izindlela zokuhlanganisa i-Forge kanye ne-Machine Learning ukuxazulula lezi zinkinga eziqondile, ziguqule amahora omsebenzi oyisicefe abe yimizuzu nje.
Ukwakha Ubuchwepheshe Bakho be-ML
Ukudlala ngezici ze-ML kusofthiwe yakho ye-CAD kuyisiqalo esihle. Kodwa ukuze uthole okuningi kukho, udinga ukuqonda imibono eyisisekelo ngemuva kwakho. Lokhu akusho ukuthi kufanele ube ngumhleli wesikhathi esigcwele. Noma kunjalo, ukuqonda ukuthi ama-algorithms afunda kanjani kudatha kubalulekile ukuze uwasebenzise ngempumelelo kubunjiniyela.
Ukwakha lobu buchwepheshe kusho ukudlulela ngale kwezifundo ezilula nokungena ekufundeni okuhlelekile kakhudlwana. Uma uqonda imiqondo efana namanethiwekhi e-neural, ukuhlehla, kanye nokuhlukaniswa, ungakhetha indlela efanele ye-ML yenselele ethile yokuklama. Njengoba ukufunda komshini kugxila kakhulu kusofthiwe yobunjiniyela, ukuqonda izimiso ezingemuva kwalezi zinhlelo kuba yikhono elibalulekile kochwepheshe be-CAD. Uma uzimisele ngokuba ngumholi kulo mkhakha omusha, ukuthola iziqu ezisemthethweni njengeziqu ze -master intelligence zokwenziwa kungakunikeza ulwazi oluyisisekelo oludingayo. Lokhu kuzokusiza ukuthi wakhe futhi usebenzise izixazululo ze-ML ezenziwe ngokwezifiso zezinqubo zokuklama nezokukhiqiza eziyinkimbinkimbi. Lolu hlobo lobuchwepheshe yilokho okuhlukanisa abantu abasebenzisa nje amathuluzi e-ML kulabo abakha izixazululo eziqhutshwa yi-ML.
Izinqumo Zomklamo Oqhutshwa Ngedatha
Enye yezinto ezijabulisa kakhulu ezilethwa ukufunda komshini ku-CAD ukuklama okukhiqizayo. Lokhu kushintsha ngokuphelele inqubo evamile yokuklama. Esikhundleni sokuklama into bese uyihlola, uqala ngokuchaza inkinga. Ufaka amapharamitha anjengezinto zokwakha, ukuthi izokwenziwa kanjani, ukuthi imithwalo edinga ukuyisingatha, kanye nemikhawulo yezindleko.
I-algorithm ye-ML ibe isihlola zonke izixazululo ezingaba khona, idala amakhulu noma ngisho nezinkulungwane zezinketho zokuklama ezilungiselelwe ezifanelana nezindinganiso zakho. Lokhu kukuvumela ukuthi uthole izixazululo zokudala futhi ezingalindelekile umklami ongumuntu angase angakaze azicabange. Kuyisibonelo esinamandla sokwenza ngokuzenzakalelayo kokuklama kochwepheshe be-CAD . Indima yomklami ishintsha kusukela ekudwebeni izinto iye ekukhetheni izinketho ezilungiselelwe kahle kakhulu. Uqondisa inqubo futhi wenze izinqumo zokugcina zokudala nezamasu ngokusekelwe eziphakamisweni ezisekelwa idatha.
Ukuthuthukisa Ukulingisa Nokuhlaziya
Ukuhlaziywa Kwe-Finite Element (FEA) kanye ne-Computational Fluid Dynamics (CFD) zinamandla kakhulu, kodwa futhi zaziwa ngokusebenzisa izinsiza eziningi futhi zithatha isikhathi eside. Ukusebenzisa ukulingisa okukodwa okuningiliziwe kungathatha amahora noma ngisho nezinsuku, okunciphisa ijubane lenqubo yokuklama.
Ukufunda komshini kunikeza indlela yokusheshisa lokhu kakhulu. Ngokuqeqesha imodeli ye-ML ngemiphumela evela ekulingiseni kwangaphambilini, ungakha ithuluzi elibikezela imiphumela yokuhlaziya cishe ngokushesha kwezinguquko ezintsha zomklamo. Le "modeli ye-surrogate" ayithathi indawo ngokuphelele yokulingisa okuningiliziwe. Esikhundleni salokho, isebenza njengokuhlola kokuqala okusheshayo. Ikuvumela ukuthi uhlole izinguquko eziningi zomklamo ngokushesha, igcine ukuhlaziywa okugcwele nokuningiliziwe kwemibono ethembisayo kuphela.
Amathuluzi e-ML asebenzayo abaklami
Ukufunda komshini akuseyona nje inkolelo-mbono; sekuvele kwakhelwe kumathuluzi amaningi okungenzeka ukuthi uyawasebenzisa. Indlela engcono kakhulu yokuqonda umthelela wawo ukuzama wena ngokwakho.
- I-Autodesk Fusion 360: Indawo yayo yokusebenza yokuklama ekhiqizayo iyisibonelo esihle sokusebenza kwe-ML. Ivumela abasebenzisi ukuthi bachaze izinkinga futhi bathole imiphumela yokuklama elungiselelwe kahle.
- I-SOLIDWORKS: Izici ezifana nokuthi “Umsizi Wokukhetha” zisebenzisa i-machine learning ukuqagela ukuthi yiziphi ezinye izinto ongase ufune ukuzikhetha ngokusekelwe ezikhethweni zakho zokuqala.
- i-nTopology: Le pulatifomu yakhiwe kusukela phansi ngokusebenzisa amamodeli ekhompyutha athuthukisiwe, kusetshenziswa ama-algorithms ukudala izingxenye eziyinkimbinkimbi nezisebenza kahle kakhulu okungenakwenzeka ukuziklama ngesandla.
- I-PTC Creo: Isandiso se-Creo Generative Topology Optimization sinikeza amakhono afanayo, sisiza onjiniyela ukudala imiklamo yemikhiqizo elungiselelwe ngokusekelwe emigomweni yokusebenza kanye nemikhawulo.
Ukubheka izici ezisebenzisa i-ML kusofthiwe yakho oyithandayo kuyindlela esheshayo yokuqala ukusebenzisa lawa masu athuthukile emsebenzini wakho wansuku zonke.
Ukufunda kahle komshini sekuba yikhono elibalulekile kubaklami nonjiniyela. Ngokuzenzakalela imisebenzi eyisicefe, ukusebenzisa idatha ukwenza izinqumo zokudala, nokusheshisa ukuhlaziywa, kukuvumela ukuthi ubeke ubuchwepheshe bakho lapho bubaluleke kakhulu: ukwenza imikhiqizo engcono.
