Frontiers in Mechanical Engineering | New and Recent Articles https://www.frontiersin.org/journals/mechanical-engineering RSS Feed for Frontiers in Mechanical Engineering | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-07-29T04:14:24.333+00:00 60 https://www.frontiersin.org/articles/10.3389/fmech.2026.1898186 https://www.frontiersin.org/articles/10.3389/fmech.2026.1898186 <![CDATA[Achieving a stable solid-solid friction reduction via hierarchical microtextures]]> 2026-07-27T00:00:00Z Original Research Yayong WangJining SunQianhao XiaoXuanyao WangYongjie GuoMengfan LvZhenghua LvSongkai JinJingren ChenLei Zhang https://www.frontiersin.org/articles/10.3389/fmech.2026.1805205 https://www.frontiersin.org/articles/10.3389/fmech.2026.1805205 <![CDATA[Design of an optimal economy shift strategy for the power-cycling hydrodynamic mechanical transmission based on matching optimization]]> 2026-07-27T00:00:00Z Original Research Xiaojun LiuChangzhao Liu https://www.frontiersin.org/articles/10.3389/fmech.2026.1905314 https://www.frontiersin.org/articles/10.3389/fmech.2026.1905314 <![CDATA[Cyclic re-entrant hybrid flow shop scheduling with sequence-dependent setup times in semiconductor manufacturing]]> 2026-07-27T00:00:00Z Original Research B. AbinayaK. Karthikeyan https://www.frontiersin.org/articles/10.3389/fmech.2026.1893720 https://www.frontiersin.org/articles/10.3389/fmech.2026.1893720 <![CDATA[MXene-enabled micro/nanofluidic transport interfaces: ordered nanochannels, hydration regulation, and responsive ion transport]]> 2026-07-27T00:00:00Z Mini Review Haotian WuZhenhua LiuShengjun JiPeikai ZhangWenyue Si https://www.frontiersin.org/articles/10.3389/fmech.2026.1898899 https://www.frontiersin.org/articles/10.3389/fmech.2026.1898899 <![CDATA[A review of high-consistency assembly and sealing structures for hydrogen fuel cell stacks]]> 2026-07-24T00:00:00Z Mini Review Xueming GaoJingsong TanXiaobo HuangShuanglong Xu https://www.frontiersin.org/articles/10.3389/fmech.2026.1885539 https://www.frontiersin.org/articles/10.3389/fmech.2026.1885539 <![CDATA[A review of powertrain domain design for new energy vehicles]]> 2026-07-24T00:00:00Z Mini Review Yingshuai LiuXintong LiXiaobo HuangXiaochong TianJianwei Tan https://www.frontiersin.org/articles/10.3389/fmech.2026.1842661 https://www.frontiersin.org/articles/10.3389/fmech.2026.1842661 <![CDATA[A review of intelligent decision-making and planning methods for machining process routes]]> 2026-07-23T00:00:00Z Mini Review Liguo ChenLiancheng ZhengMengqi Zhu https://www.frontiersin.org/articles/10.3389/fmech.2026.1851830 https://www.frontiersin.org/articles/10.3389/fmech.2026.1851830 <![CDATA[A systematic review of operational risk in outsourced automotive assembly manufacturing in India]]> 2026-07-23T00:00:00Z Review Gajanan S. RachalawarUjjwal Mishra https://www.frontiersin.org/articles/10.3389/fmech.2026.1810068 https://www.frontiersin.org/articles/10.3389/fmech.2026.1810068 <![CDATA[Interpretable physics-guided data augmentation for rotating machinery using empirical wavelet transform and sparse identification of nonlinear dynamics]]> 2026-07-22T00:00:00Z Original Research Nima RezazadehAlessandro De LucaGiuseppe LamannaFawaz AnnazMario De Oliveira https://www.frontiersin.org/articles/10.3389/fmech.2026.1863275 https://www.frontiersin.org/articles/10.3389/fmech.2026.1863275 <![CDATA[Comprehensive verification and correlation analysis of all factors of line loss data based on machine learning]]> 2026-07-21T00:00:00Z Original Research Qing XuWeiwu LiZhengying LiuXinying WangTianshou Li https://www.frontiersin.org/articles/10.3389/fmech.2026.1913518 https://www.frontiersin.org/articles/10.3389/fmech.2026.1913518 <![CDATA[Editorial: Advancements in multiscale characterization and modeling of cardiovascular tissues]]> 2026-07-20T00:00:00Z Editorial Bruno V. RegoCristina CavinatoJustyna A. NiestrawskaMatthew R. Bersi https://www.frontiersin.org/articles/10.3389/fmech.2026.1863941 https://www.frontiersin.org/articles/10.3389/fmech.2026.1863941 <![CDATA[Stochastic and robust modeling of vibration level attenuation in a column drill]]> 2026-07-17T00:00:00Z Original Research Aslain Brisco Ngnassi DjamiWolfgang Nzié https://www.frontiersin.org/articles/10.3389/fmech.2026.1874195 https://www.frontiersin.org/articles/10.3389/fmech.2026.1874195 <![CDATA[Process-aware spatial material design in laser powder bed fusion of multi-material structures: from material placement to service function]]> 2026-07-13T00:00:00Z Mini Review Rongji TangChangkun ZhangZhenghui WangLiansong WangHe KongShuo LiXianzheng Liu https://www.frontiersin.org/articles/10.3389/fmech.2026.1832735 https://www.frontiersin.org/articles/10.3389/fmech.2026.1832735 <![CDATA[Study on the dynamic response characteristics of non-uniform ice-shedding from ice-covered transmission lines]]> 2026-07-10T00:00:00Z Original Research Wangsheng XuZheng WangHui Chen https://www.frontiersin.org/articles/10.3389/fmech.2026.1839544 https://www.frontiersin.org/articles/10.3389/fmech.2026.1839544 <![CDATA[Fault diagnosis and prediction of industrial hydraulic pumps based on KOA-CNN-BILSTM model]]> 2026-07-09T00:00:00Z Original Research Ting ZhongWeiyi Zhu https://www.frontiersin.org/articles/10.3389/fmech.2026.1835857 https://www.frontiersin.org/articles/10.3389/fmech.2026.1835857 <![CDATA[System-level lightweight design of lower-limb exoskeletons: challenges and co-design strategies]]> 2026-07-07T00:00:00Z Mini Review Liancheng ZhengRizauddin RamliShengkui YuanMohamad Hazwan Mohd Ghazali https://www.frontiersin.org/articles/10.3389/fmech.2026.1859799 https://www.frontiersin.org/articles/10.3389/fmech.2026.1859799 <![CDATA[Physics-informed deep learning framework for vibration-based cylinder pressure reconstruction and heat release rate prediction in diesel engines]]> 2026-07-07T00:00:00Z Original Research Jie ZhangYinhui YuSumin Wu 0.8) within the 3,000–8,000 Hz band. We developed PhysFormer, a physics-constrained Transformer model that integrates 1D convolution and attention mechanisms, achieving accurate pressure reconstruction (RMSE = 0.035 bar). For forecasting, PhysFormer-Predict was designed using sliding windows and crankshaft encoding, enabling precise future pressure prediction (RMSE = 0.96 bar). To bypass error accumulation from traditional pressure differentiation, an end-to-end model (PhysHRRFormer-Predict) was built with dynamic frequency attention, directly predicting HRR from vibrations and reducing RMSE by 57% versus stepwise methods. This work provides a cost-effective, reliable single-sensor solution, significantly advancing real-time combustion monitoring for digital twins.]]> https://www.frontiersin.org/articles/10.3389/fmech.2026.1805479 https://www.frontiersin.org/articles/10.3389/fmech.2026.1805479 <![CDATA[Multi-sensor fusion control technology and its automation implementation methods for electromechanical servo systems with nonlinear friction]]> 2026-07-07T00:00:00Z Original Research Xiaojin Lu https://www.frontiersin.org/articles/10.3389/fmech.2026.1838542 https://www.frontiersin.org/articles/10.3389/fmech.2026.1838542 <![CDATA[Intelligent fault diagnosis method for rolling bearings based on adaptive feature mode decomposition and TCN-BiGRU-Attention]]> 2026-07-07T00:00:00Z Original Research Mingli LiZhu Yuan https://www.frontiersin.org/articles/10.3389/fmech.2026.1889702 https://www.frontiersin.org/articles/10.3389/fmech.2026.1889702 <![CDATA[A comprehensive review on structural design of multi-in-one electric drive systems for new energy vehicles]]> 2026-07-03T00:00:00Z Mini Review Yingshuai LiuXintong LiXiaobo HuangShuanglong XuJianwei Tan 3.5 kW/kg), greater efficiency (>92%), and reduced volume. Second, component-level structural design is analyzed in depth, covering permanent magnet synchronous motor (PMSM) hair-pin winding technologies, silicon carbide (SiC)-based inverter topologies, and multi-stage reducer configurations. Third, system-level integration challenges—including dual-circuit thermal management, electromagnetic compatibility (EMC) under high-frequency switching, and structural reliability validated through CAE-based modal and random vibration analysis—are critically discussed. Fourth, future trends toward domain-controller fusion, intelligent voltage boosting, and bifurcated ecosystem strategies between original equipment manufacturers (OEMs) and Tier 1 suppliers are explored. The review employs a systematic search across Web of Science, IEEE Xplore, and ScienceDirect databases (2012–2025), using keyword-based retrieval with inclusion criteria requiring relevance to structural design, system-level integration, and quantitative performance metrics, to synthesize findings from 30 peer-reviewed journal articles, offering a holistic perspective on how electromagnetic, thermal, mechanical, and control domain synergies define the next-generation of NEV powertrains. This work serves as a reference for researchers and engineers engaged in the structural optimization of highly integrated electric drive systems.]]>