Response surface optimization and ANFIS Prediction of abrasive waterjet machining in areca nut biofiller epoxy composites
Abstract
Abrasive waterjet machining (AWJM) of epoxy-10 wt.% areca nut biofiller composite was investigated using a face-centred central composite design in response surface methodology (RSM). Waterjet pressure (WJP), traverse speed (TS), abrasive flow rate (AFR), and stand-off distance (SoD) were varied to assess surface roughness (SR) and kerf angle (KA). Measured SR and KA ranged from 3.55 to 5.43 µm and 3.08 to 4.42°. Analysis of variance identified SoD as the dominant factor for both responses. Backward elimination improved the RSM predicted R ² from 0.8287 to 0.8553 (SR) and from 0.8954 to 0.9307 (KA). In the six-observation comparison, ANFIS achieved lower RMSE values (0.0313 µm and 0.0298°) than the backward-eliminated RSM models (0.0469 µm and 0.0462°) for SR and KA. ANFIS exhibited the lowest RMSE across all 30 observations (0.0859 µm and 0.0379°). Full-RSM desirability optimization identified 300 MPa WJP, 200 mm/min TS, 150 g/min AFR, and 1.5 mm SoD as the optimal conditions, with a desirability of 0.95. Confirmation experiments yielded 3.48 µm (SR) and 3.11° (KA), with prediction deviations of 3.53% and 2.81%. SEM observations revealed finer cutting tracks and fewer surface defects under optimized conditions. These findings highlight the complementary modelling capabilities of RSM and ANFIS for AWJM of biofiller-reinforced sustainable epoxy composites.
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BibTeX
@article{murugadoss2026response,
title = {{Response surface optimization and ANFIS Prediction of abrasive waterjet machining in areca nut biofiller epoxy composites}},
author = {Palanivendhan Murugadoss and P. Vasanthkumar and N. Senthilkumar and Deepanraj Balakrishnan and Rajiv Selvam},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-78440-2},
url = {https://www.nature.com/articles/s41598-026-78440-2},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Response surface optimization and ANFIS Prediction of abrasive waterjet machining in areca nut biofiller epoxy composites
AU - Palanivendhan Murugadoss
AU - P. Vasanthkumar
AU - N. Senthilkumar
AU - Deepanraj Balakrishnan
AU - Rajiv Selvam
PY - 2026
DA - 2026/10/31
JO - Scientific Reports
DO - 10.1038/s41598-026-78440-2
UR - https://www.nature.com/articles/s41598-026-78440-2
AB - Abrasive waterjet machining (AWJM) of epoxy-10 wt.% areca nut biofiller composite was investigated using a face-centred central composite design in response surface methodology (RSM). Waterjet pressure (WJP), traverse speed (TS), abrasive flow rate (AFR), and stand-off distance (SoD) were varied to assess surface roughness (SR) and kerf angle (KA). Measured SR and KA ranged from 3.55 to 5.43 µm and 3.08 to 4.42°. Analysis of variance identified SoD as the dominant factor for both responses. Backward elimination improved the RSM predicted R ² from 0.8287 to 0.8553 (SR) and from 0.8954 to 0.9307 (KA). In the six-observation comparison, ANFIS achieved lower RMSE values (0.0313 µm and 0.0298°) than the backward-eliminated RSM models (0.0469 µm and 0.0462°) for SR and KA. ANFIS exhibited the lowest RMSE across all 30 observations (0.0859 µm and 0.0379°). Full-RSM desirability optimization identified 300 MPa WJP, 200 mm/min TS, 150 g/min AFR, and 1.5 mm SoD as the optimal conditions, with a desirability of 0.95. Confirmation experiments yielded 3.48 µm (SR) and 3.11° (KA), with prediction deviations of 3.53% and 2.81%. SEM observations revealed finer cutting tracks and fewer surface defects under optimized conditions. These findings highlight the complementary modelling capabilities of RSM and ANFIS for AWJM of biofiller-reinforced sustainable epoxy composites.
SN - 2045-2322
ER -