Matches in SemOpenAlex for { <https://semopenalex.org/work/W2262995445> ?p ?o ?g. }
- W2262995445 endingPage "444" @default.
- W2262995445 startingPage "435" @default.
- W2262995445 abstract "In this investigation, response surface method was used to predict and optimize the material removal rate and tool wear ratio during electrical discharge machining of AISI D6 tool steel. Pulse on time, pulse current, and voltage were considered as input process parameters. Furthermore, the analysis of variance was employed for checking the developed model results. The results revealed that higher values of pulse on time resulted in higher values of material removal rate and lower amounts of tool wear ratio. In addition, increasing the pulse current caused to higher amounts of both material removal rate and tool wear ratio. Moreover, the higher the input voltage, the lower the both material removal rate and tool wear ratio. The optimal condition to obtain a maximum of material removal rate and a minimum of tool wear rate was 40 μs, 14 A and 150 V, respectively for the pulse on time, pulse current and input voltage." @default.
- W2262995445 created "2016-06-24" @default.
- W2262995445 creator A5010241055 @default.
- W2262995445 creator A5047636303 @default.
- W2262995445 creator A5073320095 @default.
- W2262995445 date "2016-07-01" @default.
- W2262995445 modified "2023-10-01" @default.
- W2262995445 title "Electrical discharge machining of the AISI D6 tool steel: Prediction and modeling of the material removal rate and tool wear ratio" @default.
- W2262995445 cites W1123412527 @default.
- W2262995445 cites W1275656912 @default.
- W2262995445 cites W1964209583 @default.
- W2262995445 cites W1975700519 @default.
- W2262995445 cites W1978329594 @default.
- W2262995445 cites W1978410422 @default.
- W2262995445 cites W1988384424 @default.
- W2262995445 cites W1990565902 @default.
- W2262995445 cites W1995595633 @default.
- W2262995445 cites W2000872853 @default.
- W2262995445 cites W2014105612 @default.
- W2262995445 cites W2026540986 @default.
- W2262995445 cites W2037252703 @default.
- W2262995445 cites W2042634572 @default.
- W2262995445 cites W2050305767 @default.
- W2262995445 cites W2061597325 @default.
- W2262995445 cites W2061881148 @default.
- W2262995445 cites W2084637949 @default.
- W2262995445 cites W2085375410 @default.
- W2262995445 cites W2088376206 @default.
- W2262995445 cites W2089594011 @default.
- W2262995445 cites W2091168845 @default.
- W2262995445 cites W2176900474 @default.
- W2262995445 cites W2256750298 @default.
- W2262995445 doi "https://doi.org/10.1016/j.precisioneng.2016.01.012" @default.
- W2262995445 hasPublicationYear "2016" @default.
- W2262995445 type Work @default.
- W2262995445 sameAs 2262995445 @default.
- W2262995445 citedByCount "44" @default.
- W2262995445 countsByYear W22629954452017 @default.
- W2262995445 countsByYear W22629954452018 @default.
- W2262995445 countsByYear W22629954452019 @default.
- W2262995445 countsByYear W22629954452020 @default.
- W2262995445 countsByYear W22629954452021 @default.
- W2262995445 countsByYear W22629954452022 @default.
- W2262995445 countsByYear W22629954452023 @default.
- W2262995445 crossrefType "journal-article" @default.
- W2262995445 hasAuthorship W2262995445A5010241055 @default.
- W2262995445 hasAuthorship W2262995445A5047636303 @default.
- W2262995445 hasAuthorship W2262995445A5073320095 @default.
- W2262995445 hasConcept C119599485 @default.
- W2262995445 hasConcept C119857082 @default.
- W2262995445 hasConcept C120665830 @default.
- W2262995445 hasConcept C121332964 @default.
- W2262995445 hasConcept C127413603 @default.
- W2262995445 hasConcept C140075996 @default.
- W2262995445 hasConcept C148043351 @default.
- W2262995445 hasConcept C150077022 @default.
- W2262995445 hasConcept C159985019 @default.
- W2262995445 hasConcept C165801399 @default.
- W2262995445 hasConcept C169150495 @default.
- W2262995445 hasConcept C191897082 @default.
- W2262995445 hasConcept C192562407 @default.
- W2262995445 hasConcept C2776001022 @default.
- W2262995445 hasConcept C2776450708 @default.
- W2262995445 hasConcept C2780167933 @default.
- W2262995445 hasConcept C41008148 @default.
- W2262995445 hasConcept C520434653 @default.
- W2262995445 hasConcept C523214423 @default.
- W2262995445 hasConceptScore W2262995445C119599485 @default.
- W2262995445 hasConceptScore W2262995445C119857082 @default.
- W2262995445 hasConceptScore W2262995445C120665830 @default.
- W2262995445 hasConceptScore W2262995445C121332964 @default.
- W2262995445 hasConceptScore W2262995445C127413603 @default.
- W2262995445 hasConceptScore W2262995445C140075996 @default.
- W2262995445 hasConceptScore W2262995445C148043351 @default.
- W2262995445 hasConceptScore W2262995445C150077022 @default.
- W2262995445 hasConceptScore W2262995445C159985019 @default.
- W2262995445 hasConceptScore W2262995445C165801399 @default.
- W2262995445 hasConceptScore W2262995445C169150495 @default.
- W2262995445 hasConceptScore W2262995445C191897082 @default.
- W2262995445 hasConceptScore W2262995445C192562407 @default.
- W2262995445 hasConceptScore W2262995445C2776001022 @default.
- W2262995445 hasConceptScore W2262995445C2776450708 @default.
- W2262995445 hasConceptScore W2262995445C2780167933 @default.
- W2262995445 hasConceptScore W2262995445C41008148 @default.
- W2262995445 hasConceptScore W2262995445C520434653 @default.
- W2262995445 hasConceptScore W2262995445C523214423 @default.
- W2262995445 hasLocation W22629954451 @default.
- W2262995445 hasOpenAccess W2262995445 @default.
- W2262995445 hasPrimaryLocation W22629954451 @default.
- W2262995445 hasRelatedWork W1995974337 @default.
- W2262995445 hasRelatedWork W2620964369 @default.
- W2262995445 hasRelatedWork W3094081628 @default.
- W2262995445 hasRelatedWork W3126228497 @default.
- W2262995445 hasRelatedWork W3131056396 @default.
- W2262995445 hasRelatedWork W3214052261 @default.
- W2262995445 hasRelatedWork W3215903454 @default.
- W2262995445 hasRelatedWork W4205366261 @default.
- W2262995445 hasRelatedWork W4231724457 @default.