TY - JOUR AU - Quan, Li AU - Zhao, Wanhua TI - Uncertainty analysis of motion accuracy on single-axis feed drive systems JF - ADVANCES IN MECHANICAL ENGINEERING J2 - ADV MECH ENG VL - 16 PY - 2024 IS - 1 SN - 1687-8132 DO - 10.1177/16878132231222790 UR - https://m2.mtmt.hu/api/publication/34576809 ID - 34576809 LA - English DB - MTMT ER - TY - JOUR AU - Mao, Xiangshan AU - Jia, Xiaofeng AU - Zhang, Guocheng TI - A study on the ultrasonic vibration on the cutting performance during ultrasonic-assisted drilling of CFRP with twist and dagger drill bits JF - ADVANCES IN MECHANICAL ENGINEERING J2 - ADV MECH ENG VL - 16 PY - 2024 IS - 1 SP - 1 SN - 1687-8132 DO - 10.1177/16878132241227110 UR - https://m2.mtmt.hu/api/publication/34557190 ID - 34557190 AB - During the drilling process of carbon fiber reinforced polymer (CFRP), defects such as exit delamination, tearing, and burrs are prone to occur, among which excessive axial force during drilling is the main reason for the generation of exit delamination defects. In this study, ultrasonic-assisted and conventional drilling with twist and dagger drills were investigated on 5 mm-thick multi-directional laminated fiber sheets made of T300-12k/AG80 carbon fiber composite with different orientations. The axial force evolutions in each case were monitored when drilling holes in CFRP plates, and the axial force of drilling and the appearance characteristics of hole outlet were compared. The experimental results showed that the ultrasonic assisted drilling reduced the axial drilling forces of twist and dagger drill by up to 20.6% and 30.7%, respectively, compared to conventional drills. In addition, as the feed rate increases, the axial force of drilling gradually increases, and the exit delamination factor shows an overall increasing trend. The ultrasonic vibrations reduced the exit delamination damage of both drills. A special structure of the dagger drill effectively avoided exit delamination during ultrasonic-assisted drilling, which makes the incision more neat to improve the processing quality. LA - English DB - MTMT ER - TY - JOUR AU - Xiong, Feng AU - Wang, Zhanfei AU - Wang, Dengfeng AU - Ji, Longbo AU - Wu, Hang AU - Zou, Xihong TI - Multi-objective robust optimization of foam-filled double-hexagonal crash box using Taguchi-grey relational analysis JF - ADVANCES IN MECHANICAL ENGINEERING J2 - ADV MECH ENG VL - 15 PY - 2023 IS - 9 SP - 1 EP - 24 PG - 24 SN - 1687-8132 DO - 10.1177/16878132231189070 UR - https://m2.mtmt.hu/api/publication/34507616 ID - 34507616 AB - In this paper, a novel thin-walled double-hexagonal crash box is first proposed and then multi-objective robust optimized for better overall crashworthiness under multi-angle impact loading, using a proposed hybrid method combining aluminum foam-filling and Taguchi-grey relational analysis (GRA). Specifically, the finite element (FE) models of the regularly-shaped double-hexagonal column (DHC) extracted from original irregularly-shaped crash box under multi-angle impact loading, including hollow (H-DHC) and foam-filled (F-DHC), are first built and validated by experiments. On this basis, a comprehensive crashworthiness comparison is conducted to explore relative merits of F-DHC over original H-DHC under multi-angle impact loading. After that, the F-DHC is multi-objective robust optimized for maximizing overall specific energy absorption (SEA θ ) and minimizing overall initial peak crushing force (IPCF 0 ) simultaneously under multi-angle impact loading, using a hybrid method of Taguchi-GRA. At last, a bumper-crash box integrated crashworthiness analysis under multi-angle impact loading is executed to further verify the optimization. The optimal F-DHC and the optimized crash box within the optimal F-DHC demonstrate evident improvement of crashworthiness compared to their respective initial designs, indicating aluminum foam-filling combined with Taguchi-GRA could be an effective approach for multi-objective robust optimization of the novel crash box and other similar vehicle structures. LA - English DB - MTMT ER - TY - JOUR AU - Abdul-Ameer, Hussam K. TI - Using a spherical inverted pendulum and statokinesigram for modeling and evaluating quiet standing posture JF - ADVANCES IN MECHANICAL ENGINEERING J2 - ADV MECH ENG VL - 15 PY - 2023 IS - 8 PG - 10 SN - 1687-8132 DO - 10.1177/16878132231190993 UR - https://m2.mtmt.hu/api/publication/34346394 ID - 34346394 AB - This paper proposes a new approach to model and analyze erect posture, based on a spherical inverted pendulum which is used to mimic the body posture. The pendulum oscillates in two directions, ? and f , from which the mathematical model was derived and two torque components in oscillation directions were introduced. They are estimated using stabilometric data acquired by a foot pressure mapping system. The model was quantitatively investigated using data from 19 participants, who were first were classified into three groups, according to the foot arch-index. Stabilometric data were then collected and fed into the model to estimate the torque's components. The components were statistically processed, and the results revealed that the components in direction ? are able to reject intrinsic perturbation. The frequency spectrum of the components in direction f was processed using fast Fourier transform, and the results showed the feasibility of the component in segregating foot deformities. In addition, high-arched foot cases tended to be more stable than other cases because the exerted torque is less. The torque profiles estimated by our model were compared with the profiles derived from a classical inverted pendulum. In most cases, our results showed a significant change (t-test p < 0.05). LA - English DB - MTMT ER - TY - JOUR AU - Hussain, A. AU - Riaz, Dar M.N. AU - Kanwal, R. AU - Khalid, Cheema W. TI - Assessment of unsteady-state thermal expansion in saccular aneurysms with Newtonian blood circulation including silver nanoparticles JF - ADVANCES IN MECHANICAL ENGINEERING J2 - ADV MECH ENG VL - 15 PY - 2023 IS - 7 SN - 1687-8132 DO - 10.1177/16878132231189109 UR - https://m2.mtmt.hu/api/publication/34214559 ID - 34214559 N1 - Export Date: 25 October 2023 Correspondence Address: Hussain, A.; Department of Mathematics, Pakistan; email: azad.hussain@uog.edu.pk LA - English DB - MTMT ER - TY - JOUR AU - Silveira, Nubia AU - Meghoe, Annemieke AU - Tinga, Tiedo TI - Integration of multiple failure mechanisms in a life assessment method for centrifugal pump impellers JF - ADVANCES IN MECHANICAL ENGINEERING J2 - ADV MECH ENG VL - 15 PY - 2023 IS - 6 SP - 1 EP - 18 PG - 18 SN - 1687-8132 DO - 10.1177/16878132231175755 UR - https://m2.mtmt.hu/api/publication/34508563 ID - 34508563 AB - Methods in predictive maintenance are frequently confronted with limited applicability to realistic scenarios. The available approaches are often used for a single design, requiring an entirely new analysis for a slightly different case. A solution for this issue could be using a physical model. However, physical models focus on one unique failure mechanism, while, in a practical application, several mechanisms are typically active at the same instant. This work proposes and demonstrates a new methodology that combines different failure mechanism into an integrated life prediction model. Failure Modes and Effects Analysis is used to identify the different failure mechanisms that occur in a component simultaneously. Physical and empirical models are then analyzed and modified to be implemented in a realistic case of a centrifugal pump impeller applied in a maritime environment. As erosion, cavitation, and corrosion are the main failure mechanisms of an impeller, the combination of them quantifies the degradation increment during different types of pump operation. The proposed methodology is compared with traditional failure rate models and an established cavitation model that uses an aging factor to cover other failure mechanisms. In conclusion, it is demonstrated that the proposed methodology is more sensitive and reliable in describing the degradation process for a wide range of operating conditions, since all the mechanisms are considered. LA - English DB - MTMT ER - TY - JOUR AU - Sahraoui, Mohammed Amine AU - Rahmoune, Chemseddine AU - Meddour, Ikhlas AU - Bettahar, Toufik AU - Zair, Mohamed TI - New criteria for wrapper feature selection to enhance bearing fault classification JF - ADVANCES IN MECHANICAL ENGINEERING J2 - ADV MECH ENG VL - 15 PY - 2023 IS - 6 PG - 15 SN - 1687-8132 DO - 10.1177/16878132231183862 UR - https://m2.mtmt.hu/api/publication/34369001 ID - 34369001 AB - Classification is a critical task in many fields, including signal processing and data analysis. The accuracy and stability of classification results can be improved by selecting the most relevant features from the data. In this paper, a new criterion for feature selection using wrapper method is proposed, which is based on the evaluation of the classification results according to the accuracy and stability (standard deviation) of each class and the number of selected features. The proposed method is evaluated using Random Forest (RF) and Ant Colony Optimization (ACO) algorithms on a benchmark dataset. Results show that the proposed method outperforms classical feature selection methods in terms of accuracy and stability of classification results, especially for the difficult-to-classify combined damage class. This study demonstrates the effectiveness of the proposed new wrapper feature selection criterion to improve the performance of classification algorithms with higher stability (STD: C1 = 0.5, C2 = 0.8, C3 = 0.6, C4 = 1.8) and better accuracy (average C1 = 98.5%, C2 = 96.6%, C3 = 9.5%, C4 = 93) for the both; the statoric current and the vibration signal compared to other techniques. Machine learning methods had proven their efficiency in time-varying machines fault diagnosis when taking vibration signals and statoric currents extracted features as inputs. However, the use of the both demonstrated a higher robustness and a remarkable superiority. LA - English DB - MTMT ER - TY - JOUR AU - Kazmi, S. N. AU - Abbasi, F. M. AU - Shehzad, S. A. TI - An electroosmotic peristaltic flow of graphene-lubrication oil nanofluid through a symmetric channel JF - ADVANCES IN MECHANICAL ENGINEERING J2 - ADV MECH ENG VL - 15 PY - 2023 IS - 6 PG - 11 SN - 1687-8132 DO - 10.1177/16878132231177956 UR - https://m2.mtmt.hu/api/publication/34357419 ID - 34357419 AB - The purpose of this manuscript is to analyze the electroosmotic peristaltic motion of graphene-lubrication oil nanofluid. Rheological characteristics of such fluids are predicted by using the Carreau's model. Effects of magnetic field, electric field, viscous dissipation, Joule heating, Brownian motion and thermophoresis are also reckoned. Debye-Huckel linearization and lubrication approach are employed in mathematical modeling. Obtained non-linear system of equations are analytically solved by using the builtin command NdSolve and parametric study is carried out to visualize the variation in temperature, velocity, heat transfer rate, concentration profiles, pressure gradient and pressure rise per wavelength. Results unveil that strong electroosmotic parameter enhances both velocity and temperature. Temperature and velocity decline on the enlargement of the Helmholtz-Smoluchowski velocity. Variation in electroosmotic parameter decreases and Helmholtz-Smoluchowski velocity increases mass transfer rate. Pumping region can also be maintained by thickening and thinning the Electric Double Layer (EDL). Present study has useful applications in industries, defect sensor, energy saving, domestic air conditioning, cooling power electronic components and heat extraction and heat transportation. LA - English DB - MTMT ER - TY - JOUR AU - Liu, Yuan AU - Zhao, Li AU - Sun, WenFang AU - Wang, Qing TI - Stability analysis of TATWC based on UVA milling method JF - ADVANCES IN MECHANICAL ENGINEERING J2 - ADV MECH ENG VL - 15 PY - 2023 IS - 6 PG - 17 SN - 1687-8132 DO - 10.1177/16878132231177980 UR - https://m2.mtmt.hu/api/publication/34242089 ID - 34242089 AB - Difficult machining characteristics of titanium alloy materials and low rigidity characteristics of thin-walled component make Titanium Alloy Thin-Walled Component (TATWC) prone to chatter during machining, resulting in poor surface quality and other defects, which restricts the expansion and application of TATWC in the special industrial field. The appearance of Ultrasonic Vibration Assisted (UVA) milling method provides a new technology to overcome the processing problems of the TATWC. To analyze the stability of the TATWC processed by UVA milling method, first, by introducing a characterization function, a cutting force model of UVA milling method is established; The coefficients of cutting force between milling cutters and TATWC are solved through experiments. The model is verified by comparing the experimental and predicted values of cutting force; Secondly, the stability prediction model of UVA milling method based on full discrete method is established, and the effect of various process parameters on the stability of UVA milling method is researched. Finally, based on theoretical analysis, the modal characteristics of TATWC are measured through modal experiments. The feasibility of the stability prediction model of UVA milling method is verified by cutting TATWC with variable cutting depth. LA - English DB - MTMT ER - TY - JOUR AU - Yang, Po-Yuan AU - Chang, Ping-Yueh TI - Hyperparameter optimization of tapping center machines model using robust whale optimization algorithm JF - ADVANCES IN MECHANICAL ENGINEERING J2 - ADV MECH ENG VL - 15 PY - 2023 IS - 5 PG - 12 SN - 1687-8132 DO - 10.1177/16878132231175000 UR - https://m2.mtmt.hu/api/publication/34371222 ID - 34371222 AB - To build a synchronization error prediction model for the machine tool efficiently, a robust whale optimization algorithm (RWOA) method proposed in this study is applied to the hyperparameter optimization of its model. The proposed RWOA method integrated a non-linear time-invariant inertia weighting (NTIW) method and a Taguchi-based adaptive parameter exploration (ATPE) to improve the performance of WOA and promote robustness. The NTIW method can improve the performance of other algorithms, so this study used the NTIW method in the WOA. In addition, the Taguchi method can get an excellent combination of variables with optimal values and stable performance, making the WOA robust. First, to verify the validity of the proposed RWOA method, 13 benchmark functions were used in this study. The results of the benchmark function tests include the mean, standard deviation, and p-value of the t-distribution test. The results show that 11 of the 13 functions differ significantly. In other non-significant difference functions, the means and standard deviations obtained by the proposed RWOA are considerably better than those obtained by WOA. Since the product cost of machine tools is higher, if a prediction model can be built effectively, it can reduce the cost. Therefore, in this study, the proposed RWOA was used to explore the best hyperparameter combination for the model. From the results, the model's average MAPE (mean absolute percentage error) was 7.2604% for training data and 9.2603% for the testing data under 30 modeling runs. For the best one in 30 models, the MAPE was 6.8384% for the training data and 6.7372% for the testing data. This model was also introduced into the actual machine in this study, and the experimental results showed the MAPE 6.3447%. The proposed RWOA method effectively explores a suitable synchronization error model for the tool machine. LA - English DB - MTMT ER -