Ruoxi Wang, Rongke Sun, Yanmei Ren, Yanqing Ma, Lei Ma
{"title":"Preparation of high-performance Ag2Se NWs/PEDOT:PSS composite films and influence of PEDOT:PSS content on thermoelectric properties","authors":"Ruoxi Wang, Rongke Sun, Yanmei Ren, Yanqing Ma, Lei Ma","doi":"10.1186/s40712-025-00235-6","DOIUrl":"10.1186/s40712-025-00235-6","url":null,"abstract":"<div><p>There is still limited research on the influence of polymer content in inorganic/organic materials on thermoelectric properties. In this study, we systematically investigated the influence of the content of poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) in the Ag<sub>2</sub>Se nanowires/PEDOT:PSS (Ag<sub>2</sub>Se NWs/PEDOT:PSS) composite films on the thermoelectric properties. When the content of PEDOT:PSS is 1.54 wt%, the composite film achieved the highest power factor (PF) of ~ 2074.0 µW m<sup>−1</sup> K<sup>−2</sup> at room temperature. The maximum output power (<i>P</i><sub>max</sub>) of the single-leg thermoelectric device based on the composite film is approximately 49.42 nW, and the maximum power density (PD<sub>max</sub>) is 4.28 W m<sup>−2</sup> at a temperature difference of 25 K. Furthermore, the film exhibits superior flexibility with 94.3% of the original performance retention after 2000 bending cycles around a rod with a diameter of 5 mm. This work provides valuable guidance for the design and fabrication of high-performance flexible inorganic/organic composite thermoelectric materials.</p></div>","PeriodicalId":592,"journal":{"name":"International Journal of Mechanical and Materials Engineering","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jmsg.springeropen.com/counter/pdf/10.1186/s40712-025-00235-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vladimir K. Nikolaev, Arkady A. Skvortsov, Zamir F. Khudayarov, Roman S. Nikolaev
{"title":"Optimization of exhaust catalytic manifold of internal combustion engine","authors":"Vladimir K. Nikolaev, Arkady A. Skvortsov, Zamir F. Khudayarov, Roman S. Nikolaev","doi":"10.1186/s40712-025-00238-3","DOIUrl":"10.1186/s40712-025-00238-3","url":null,"abstract":"","PeriodicalId":592,"journal":{"name":"International Journal of Mechanical and Materials Engineering","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jmsg.springeropen.com/counter/pdf/10.1186/s40712-025-00238-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lorenz Braumann, Virginia Sáenz de Viteri, Bernd Morhard, Thomas Lohner, Jaime Ochoa, Hanns Amri
{"title":"Tribology technologies for gears in loss of lubrication conditions: a review","authors":"Lorenz Braumann, Virginia Sáenz de Viteri, Bernd Morhard, Thomas Lohner, Jaime Ochoa, Hanns Amri","doi":"10.1186/s40712-024-00204-5","DOIUrl":"10.1186/s40712-024-00204-5","url":null,"abstract":"<div><p>Transmission systems for the aviation industry are continuously pushed to new and extreme limits. Gears in rotorcraft transmissions or geared turbofans must withstand considerable torques while operating at high rotational speeds and temperatures. Such high-power density makes continuous lubricant supply indispensable for the transmission to operate safely. However, loss of lubrication events can occur during operation, potentially leading to gear failure and, consequently, to catastrophic events. The research community is striving to propose alternative solutions for increasing the lifetime of gears in loss of lubrication conditions. Surface and lubricant technologies, such as tribological coatings or ionic liquid additives, have shown great potential to reduce friction and wear and to increase the lifetime of gears under loss of lubrication. This paper reviews the main progress in surface technologies, such as coatings, surface texturing, and thermochemical treatments, with a focus on gear surface treatments. Furthermore, ways to decrease friction in the gear contact to increase wear and scoring resistance by lubricants and additives are discussed. The main findings highlighted in this review can support the future design of new transmission systems for aircraft and helicopters to reduce the need for the yet required secondary lubrication supply, thereby reducing space, cost, weight, and most importantly, CO<sub>2</sub> emissions.</p></div>","PeriodicalId":592,"journal":{"name":"International Journal of Mechanical and Materials Engineering","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jmsg.springeropen.com/counter/pdf/10.1186/s40712-024-00204-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Novel core–shell CuO nanostructures grown on Cu powder particles by hot water treatment for binder-free supercapacitor electrodes","authors":"Shanzida Haque, Assem Basurrah, Blessing I. Hammer, Shawn Bourdo, Tansel Karabacak","doi":"10.1186/s40712-025-00239-2","DOIUrl":"10.1186/s40712-025-00239-2","url":null,"abstract":"<div><p>This research has successfully prepared three-dimensional leaf-like copper oxide (CuO) nanostructures on micro-sized Cu powder particles via hot water treatment (HWT). This innovative approach has led to the development of a new core–shell, binder-free, and high-surface-area supercapacitor electrode. The synthesis process involved a simple immersion of Cu powder into hot water stabilized at 75 °C for 24 h. The CuO/Cu powder obtained was combined with DI water and then deposited onto a Cu plate and subjected to annealing at 200 °C in a vacuum furnace to produce a binder-less electrode for electrochemical evaluations. Utilizing SEM and EDS, we thoroughly analyzed the morphology and composition of the CuO nanostructures. X-ray diffraction (XRD) analysis was utilized to unveil the crystal structure of the CuO nanostructures, confirming the presence of leaf-like morphology of CuO. Thermogravimetric analysis (TGA) and Brunauer–Emmett–Teller (BET) were employed to measure the mass of the active material and its specific surface area, respectively. The electrochemical properties of CuO nanostructures were examined by cyclic voltammetry (CV) over various scan rates. The electrochemical resistance of the electrode material was observed using electrochemical impedance spectroscopy (EIS). The results from the electrochemical tests indicated that a peak-specific capacitance of around 220 F/g was achieved when the scan rate was set at 5 mV/s using Na<sub>2</sub>SO<sub>4</sub> electrolyte. Furthermore, the capacitance retention rate was about 38% after 1500 consecutive cycles. Our findings indicate that the HWT-grown CuO/Cu nanostructured powder shows promise for pseudo-supercapacitor applications, which could potentially bring about a revolution in the field of energy storage.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":592,"journal":{"name":"International Journal of Mechanical and Materials Engineering","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jmsg.springeropen.com/counter/pdf/10.1186/s40712-025-00239-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meekness Nnoka, Tonye Alaso Jack, Sandeep Yadav, Jerzy Szpunar
{"title":"Role of grain size on the corrosion resistance of pipeline steels in acidic environment","authors":"Meekness Nnoka, Tonye Alaso Jack, Sandeep Yadav, Jerzy Szpunar","doi":"10.1186/s40712-025-00240-9","DOIUrl":"10.1186/s40712-025-00240-9","url":null,"abstract":"<div><p>The microstructure of pipeline steels plays an important role in determining their resistance to corrosion. Among various microstructural features, grain size has been a topic of ongoing debate regarding its influence on the corrosion resistance of pipeline steels. While it is established that grain size inversely correlates with yield strength, its impact on corrosion resistance in acidic environments remains unclear. This study investigated the effects of grain size on the corrosion resistance of pipeline steels exposed to an acidic environment. Heat treatments were conducted to vary the grain size from 8 to 19 µm while minimizing contributions from other microstructural features. The findings revealed that reducing grain size significantly enhanced corrosion resistance by promoting passivation. Grain boundaries were identified as the preferred sites for forming protective oxide layers, compared to grain interiors. Consequently, samples with finer grains, which inherently possess a higher density of grain boundaries, exhibited enhanced passivation, resulting in greater surface coverage by protective oxide layers. In contrast, samples with larger grains primarily formed oxide layers along the grain boundaries, leaving the grain interiors more susceptible to attack by corrosive species. Additionally, a phenomenological model was developed based on the experimental results. This model was validated through independent measurements, confirming that passivation coverage increases with decreasing grain size in acidic environment.\u0000</p></div>","PeriodicalId":592,"journal":{"name":"International Journal of Mechanical and Materials Engineering","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jmsg.springeropen.com/counter/pdf/10.1186/s40712-025-00240-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Carbon-based nanomaterials: interactions with cells, brain therapies, and neural sensing","authors":"Lorena Gárate-Vélez, Mildred Quintana","doi":"10.1186/s40712-025-00236-5","DOIUrl":"10.1186/s40712-025-00236-5","url":null,"abstract":"<div><p>Carbon nanomaterials (CNMs) are characterized by their extensive surface area and extraordinary electronic, thermal, and chemical properties, offering an innovative potential for biomedical applications. The physicochemical properties of CNMs can be fine-tuned through chemical functionalization to design the bio-nano interface, allowing for controlled biocompatibility or specific bioactivity. This versatility offers a transformative approach to addressing the inherent limitations of conventional brain therapies, which frequently demonstrate low efficacy and significant adverse effects. This review delves into recent advances in understanding the intricate interactions between carbon nanostructures and cellular systems, highlighting their activity in brain therapy and neuronal sensing. We provide a comprehensive analysis of key nanostructures, including few-layer graphene (FLG), graphene oxide (GO), graphene quantum dots (GQD), single- and multi-walled carbon nanotubes (SWCNT and MWCNT), carbon nanohorns (CNH), carbon nanodiamonds (CNDs), and fullerenes (C<sub>60</sub>). Their unique atomic configurations and surface modifications are examined, revealing the underlying mechanisms that drive their biomedical applications. This review highlights how a deep understanding of the interactions between CNMs and cells can catalyze innovative neurotherapeutic solutions. By leveraging their unique properties, CNMs address critical challenges such as crossing the blood–brain barrier, improving therapeutic accuracy, and minimizing side effects. These advances have the potential to significantly improve the treatment outcomes of brain disorders, paving the way for a new era of targeted and effective neurological interventions.</p></div>","PeriodicalId":592,"journal":{"name":"International Journal of Mechanical and Materials Engineering","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jmsg.springeropen.com/counter/pdf/10.1186/s40712-025-00236-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Rajprasad, J. S. Sudarsan, M. Jeeva Prasanth, S. Nithiyanantham
{"title":"Developing low-carbon sustainable building material by adding micro steel fiber with recycled aggregate concrete","authors":"J. Rajprasad, J. S. Sudarsan, M. Jeeva Prasanth, S. Nithiyanantham","doi":"10.1186/s40712-025-00224-9","DOIUrl":"10.1186/s40712-025-00224-9","url":null,"abstract":"<div><p>Concrete is the most tremendous and widespread building material in the world. Building materials have become expensive and scarce. There is a tremendous need for substitute materials made from industrial waste in this desolate area. In concrete, ensuring the most expedient utilization of recycled aggregate (RA) from demolished structures can aid in the preservation of the natural surroundings, environment, and dumping space. The natural aggregate is eliminated with RA by (25, 50, 75, and 100%) volumes were carried out in 7, 14, and 28 days. Due to drying shrinkage, fresh concrete develops structural fissures, resulting in structural failure. Adding micro steel fiber is one of the most efficient strategies for improving the concrete’s characteristics like tensile strength, compressive strength, and flexural strength. In addition to this, a comparison is made between conventional concrete and RA concrete furthermore contains micro steel fiber enhancing the enforcement that leads to unreeling concrete. The outcomes of micro steel fiber onto RA concrete are assessed, and the conflicts among natural and RA attributes are addressed and discussed in detail.</p></div>","PeriodicalId":592,"journal":{"name":"International Journal of Mechanical and Materials Engineering","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jmsg.springeropen.com/counter/pdf/10.1186/s40712-025-00224-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sadaf Saeed, Ali Zia, Sana Tariq, Umema Shakoor, Dongdong Liu, Ri Liu, Liang Cao, Changrui Liao, Zuobin Wang
{"title":"Synergistic antireflection and SERS enhancement in hybrid silicon nanowires by LIL and MACE","authors":"Sadaf Saeed, Ali Zia, Sana Tariq, Umema Shakoor, Dongdong Liu, Ri Liu, Liang Cao, Changrui Liao, Zuobin Wang","doi":"10.1186/s40712-024-00196-2","DOIUrl":"10.1186/s40712-024-00196-2","url":null,"abstract":"<div><p>This paper presents an innovative approach to fabricating dual-functional hybrid silicon nanowire (SiNW) arrays that demonstrate antireflection and Surface-Enhanced Raman Scattering (SERS) potentials. Three-beam laser interference lithography (TBLIL) is used to create interference fringe patterns on a Si substrate, which serves as a template for subsequent NWs creation. Subsequently, metal-assisted chemical etching (MACE) selectively etched the substrate and stimulated the formation of SiNWs with various aspect ratios. The morphological and optical features of the hybrid SiNWs were characterized by scanning electron microscopy (SEM), finite difference time domain (FDTD), and Raman spectroscopy. The resulting structured surface morphology effectively reduced the reflection losses at various wavelengths. The Raman spectra of rhodamine 6G (R6G) analytes at concentrations of 10<sup>–4</sup> to 10<sup>–8</sup> are examined, indicating that the Raman signals were significantly enhanced and had long-term stability and reliability. The Raman characteristic peaks of R6G were observed at 620, 1361, and 1660 cm<sup>−1</sup>, which are potentially useful in sensitive chemical sensors.</p></div>","PeriodicalId":592,"journal":{"name":"International Journal of Mechanical and Materials Engineering","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jmsg.springeropen.com/counter/pdf/10.1186/s40712-024-00196-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sajjad Hussain, Carman Ka Man Lee, Yung Po Tsang, Saad Waqar
{"title":"A machine learning-based recommendation framework for material extrusion fabricated triply periodic minimal surface lattice structures","authors":"Sajjad Hussain, Carman Ka Man Lee, Yung Po Tsang, Saad Waqar","doi":"10.1186/s40712-025-00229-4","DOIUrl":"10.1186/s40712-025-00229-4","url":null,"abstract":"<div><p>Lattice structures (LS) have been utilized in various fields, from engineering to biomedical sciences. In the lattice structures, the triply periodic minimal surface (TPMS) LS attains benefits in terms of higher productivity and less material usage, a step towards greener 3D printing. However, no automated system exists that can effectively recommend LS parameters to reduce material waste, which is often neglected in traditional methods. To overcome these challenges, this study presents a machine learning (ML) and Deep Learning (DL) based framework recommending TPMS LS according to specific requirements. Initially, a dataset of 144 samples was created using the Material Extrusion (ME) technique. The four TPMS LS were chosen (Split-P, Gyroid, Diamond, and Schwarz) and manufactured with Polylactic acid (PLA). This dataset was used to train both ML and DL algorithms. ML algorithms included Bayesian regression (BR), K-nearest neighbors (KNN), Random Forest (RF), Decision Tree (DT), and DL algorithm convolutional neural network (CNN). These models were used to predict the key parameters of TPMS LS, including wall thickness, unit cell type, loading direction, and unit cell size. Extensive testing was performed to evaluate the performance of the algorithms, employing <i>R</i>-squared values and root mean square error (RMSE). The results showed that the machine learning models, specifically the RF and DT algorithms, performed the best, achieving R-squared scores of 0.993 and 1.0 and RMSE scores of 0.1180 and 0.0795, respectively. The deep learning model, CNN, achieved an RMSE value of 0.46 and an <i>R</i>-squared score of 97%. This study not only contributes to a better understanding of automated TPMS lattice structures but also has significant implications for sustainable design and innovation, particularly in enhancing efficient and environmentally friendly 3D printing technologies.\u0000</p></div>","PeriodicalId":592,"journal":{"name":"International Journal of Mechanical and Materials Engineering","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jmsg.springeropen.com/counter/pdf/10.1186/s40712-025-00229-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tribological behavior of unfilled PTFE under static loading in dry sliding condition: a Taguchi-ANN perspective","authors":"Kiran Ashokrao Chaudhari, Jayant Hemchandra Bhangale","doi":"10.1186/s40712-025-00233-8","DOIUrl":"10.1186/s40712-025-00233-8","url":null,"abstract":"<div><p>This work explores the friction and wear characteristics of unfilled polytetrafluoroethylene (PTFE) operating in static unlubricated sliding conditions using Taguchi analysis. The research uses a design of experiment (DOE) technique, focused on sliding velocity, and applied pressure and sliding time as parameters. Systematic experimentation is facilitated with Taguchi’s L9 orthogonal array, and Minitab 17 software is used to evaluate the findings. Signal-to-noise ratios (SNR) are used in the evaluation of individual parameter effects, the creation of regression models, and the establishment of ideal operating conditions. The analysis focuses on predicting wear (W), specific wear rate (Ws), and friction coefficient (f) through regression and ANN (artificial neural network) models, with ANN demonstrating better performance. The results advocate for optimal operating condition for PTFE under static load. This study adds important information for sectors where PTFE is employed as a primary material, such as rolling and sliding contact bearings.</p></div>","PeriodicalId":592,"journal":{"name":"International Journal of Mechanical and Materials Engineering","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jmsg.springeropen.com/counter/pdf/10.1186/s40712-025-00233-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}