FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384696583> ?p ?o ?g. }

• W4384696583 abstract "Abstract The rationale behind the rising demand for orthogonal cutting in the processing of hard-to-cut materials is attributed to its advantages over discrete turning processes, which are achieved through the simultaneous application of two or more machining techniques. The utilisation of laser technology in machining processes is considered to be a sophisticated method for the processing of materials that are difficult to cut. The present study involved the utilisation of a Nd:YAG laser source to preheat a Nitinol shape memory alloy (SMA) work piece, which was subsequently subjected to machining using a laser-assisted Computer numerical control (CNC) turning centre. The objective of this investigation was to evaluate the properties of laser assisted machining (LAM) under varying machining conditions. The present study focuses on investigating the impact of process parameters on cutting force and surface roughness in the context of laser-assisted turning (LAT) of Nitinol SMA. To achieve this objective, statistical techniques such as the Response Surface Method (RSM), Adaptive Neurofuzzy Inference System (ANFIS), and Artificial Neural Networks (ANN) with Back Propagation (BP) algorithm-based numerical modelling are employed. The study was conducted utilising the Central Composite Design (CCD) methodology. The study examined the impact of process parameters, specifically cutting speed, feed, cutting depth, and laser power, on the response variables of cutting force (Fz) and surface roughness (SR). The results of the ANOVA analysis indicate that the cutting speed is the primary factor that significantly affects both Fz and SR, accounting for 31.39% and 60.36% of the variance, respectively. The feed rate is the second most influential factor, contributing 26.71% to Fz and 9.078% to SR. The optimisation of LAT parameters was ultimately achieved through the utilisation of a multi-objective desirability function, which effectively reduced both the SR and Fz simultaneously. The evaluation of the ANN model (4-24-2) involved its modelling and expected capabilities, which were compared to those of the RSM model using statistical measures such as root mean square error (RMSE) and absolute standard deviation. The outcomes of Fz and SR anticipated by RSM, ANFIS, and ANN exhibited a high degree of agreement with the empirical findings." @default.
• W4384696583 created "2023-07-20" @default.
• W4384696583 creator A5013344355 @default.
• W4384696583 creator A5021445848 @default.
• W4384696583 creator A5022392231 @default.
• W4384696583 date "2023-07-18" @default.
• W4384696583 modified "2023-09-23" @default.
• W4384696583 title "Comparative analysis of RSM, ANN and ANFIS techniques in optimization of process parameters in laser assisted turning of NITINOL Shape memory alloy" @default.
• W4384696583 cites W1781370357 @default.
• W4384696583 cites W1964157765 @default.
• W4384696583 cites W1967588864 @default.
• W4384696583 cites W1969050939 @default.
• W4384696583 cites W1969551958 @default.
• W4384696583 cites W1989320863 @default.
• W4384696583 cites W1990555287 @default.
• W4384696583 cites W1998161281 @default.
• W4384696583 cites W1999519464 @default.
• W4384696583 cites W2000917823 @default.
• W4384696583 cites W2008239211 @default.
• W4384696583 cites W2010930831 @default.
• W4384696583 cites W2017327477 @default.
• W4384696583 cites W2020964601 @default.
• W4384696583 cites W2037137778 @default.
• W4384696583 cites W2084341382 @default.
• W4384696583 cites W2092162059 @default.
• W4384696583 cites W2100252900 @default.
• W4384696583 cites W2115440961 @default.
• W4384696583 cites W2135376829 @default.
• W4384696583 cites W2152779201 @default.
• W4384696583 cites W2224975752 @default.
• W4384696583 cites W2253056101 @default.
• W4384696583 cites W2469084618 @default.
• W4384696583 cites W2518299758 @default.
• W4384696583 cites W2530060175 @default.
• W4384696583 cites W2611951844 @default.
• W4384696583 cites W2787305318 @default.
• W4384696583 cites W2808105138 @default.
• W4384696583 cites W2910944167 @default.
• W4384696583 cites W2982010989 @default.
• W4384696583 cites W3003313772 @default.
• W4384696583 doi "https://doi.org/10.21203/rs.3.rs-3149051/v1" @default.
• W4384696583 hasPublicationYear "2023" @default.
• W4384696583 type Work @default.
• W4384696583 citedByCount "0" @default.
• W4384696583 crossrefType "posted-content" @default.
• W4384696583 hasAuthorship W4384696583A5013344355 @default.
• W4384696583 hasAuthorship W4384696583A5021445848 @default.
• W4384696583 hasAuthorship W4384696583A5022392231 @default.
• W4384696583 hasBestOaLocation W43846965831 @default.
• W4384696583 hasConcept C107365816 @default.
• W4384696583 hasConcept C119857082 @default.
• W4384696583 hasConcept C120665830 @default.
• W4384696583 hasConcept C121332964 @default.
• W4384696583 hasConcept C127413603 @default.
• W4384696583 hasConcept C150077022 @default.
• W4384696583 hasConcept C151730666 @default.
• W4384696583 hasConcept C159985019 @default.
• W4384696583 hasConcept C175457265 @default.
• W4384696583 hasConcept C192562407 @default.
• W4384696583 hasConcept C200649887 @default.
• W4384696583 hasConcept C2779343474 @default.
• W4384696583 hasConcept C2780180705 @default.
• W4384696583 hasConcept C41008148 @default.
• W4384696583 hasConcept C49097943 @default.
• W4384696583 hasConcept C50644808 @default.
• W4384696583 hasConcept C520434653 @default.
• W4384696583 hasConcept C523214423 @default.
• W4384696583 hasConcept C78519656 @default.
• W4384696583 hasConcept C86803240 @default.
• W4384696583 hasConceptScore W4384696583C107365816 @default.
• W4384696583 hasConceptScore W4384696583C119857082 @default.
• W4384696583 hasConceptScore W4384696583C120665830 @default.
• W4384696583 hasConceptScore W4384696583C121332964 @default.
• W4384696583 hasConceptScore W4384696583C127413603 @default.
• W4384696583 hasConceptScore W4384696583C150077022 @default.
• W4384696583 hasConceptScore W4384696583C151730666 @default.
• W4384696583 hasConceptScore W4384696583C159985019 @default.
• W4384696583 hasConceptScore W4384696583C175457265 @default.
• W4384696583 hasConceptScore W4384696583C192562407 @default.
• W4384696583 hasConceptScore W4384696583C200649887 @default.
• W4384696583 hasConceptScore W4384696583C2779343474 @default.
• W4384696583 hasConceptScore W4384696583C2780180705 @default.
• W4384696583 hasConceptScore W4384696583C41008148 @default.
• W4384696583 hasConceptScore W4384696583C49097943 @default.
• W4384696583 hasConceptScore W4384696583C50644808 @default.
• W4384696583 hasConceptScore W4384696583C520434653 @default.
• W4384696583 hasConceptScore W4384696583C523214423 @default.
• W4384696583 hasConceptScore W4384696583C78519656 @default.
• W4384696583 hasConceptScore W4384696583C86803240 @default.
• W4384696583 hasLocation W43846965831 @default.
• W4384696583 hasOpenAccess W4384696583 @default.
• W4384696583 hasPrimaryLocation W43846965831 @default.
• W4384696583 hasRelatedWork W2788321459 @default.
• W4384696583 hasRelatedWork W2796226544 @default.
• W4384696583 hasRelatedWork W2803765035 @default.
• W4384696583 hasRelatedWork W2979288413 @default.
• W4384696583 hasRelatedWork W3194051081 @default.
• W4384696583 hasRelatedWork W4200048376 @default.
• W4384696583 hasRelatedWork W4200157420 @default.
• W4384696583 hasRelatedWork W4281263227 @default.

• next