Hasil untuk "Mechanical engineering and machinery"

Karina Kohl, Luigi Carro

Software Engineering (SE) faces simultaneous pressure from AI automation (reducing code production costs) and hardware-energy constraints (amplifying failure costs). We position that SE must redefine itself around human discernment-intent articulation, architectural control, and verification-rather than code construction. This shift introduces accountability collapse as a central risk and requires fundamental changes to research priorities, educational curricula, and industrial practices. We argue that Software Engineering, as traditionally defined around code construction and process management, is no longer sufficient. Instead, the discipline must be redefined around intent articulation, architectural control, and systematic verification. This redefinition shifts Software Engineering from a production-oriented field to one centered on human judgment under automation, with profound implications for research, practice, and education.

Linjun Wang, Zhenxiong Wu, Haihua Wu et al.

Miriam Lucariello, Maria Luisa Valicenti, Samuele Giannoni et al.

Mechanical forces are increasingly recognised as fundamental regulators of cellular function, complementing classical biochemical cues to direct development, tissue homeostasis, and disease progression. Cells detect external and internal forces via mechanosensor proteins and adapt their cytoskeletal architecture, leading to changes in cell behaviour. Biomaterials and biodevices come to the aid of tailoring biomaterials’ properties in terms of chemical/physical properties and, by emulating dynamical forces, e.g., shear stress and cell swelling, they may enlighten mechanobiological processes. Additionally, emerging technologies expand the experimental toolkit for probing mechanobiological phenomena in complex, customisable settings. Central to these processes are mechanotransducer proteins and membrane–organelle networks that convert mechanical deformation into biochemical signals, orchestrating downstream transcriptional and post-translational modifications. This review highlights how through bridging material engineering and cellular mechanics, mechanobiology provides a unified framework to understand how physical forces shape tissues and drive pathologies. The continued integration of advanced biomaterials, dynamic biodevices, and multiscale analytical methods promises to uncover new mechanistic insights and inform the development of mechanotherapeutic strategies.

Chunpeng Zhang, Jiaru Song, Xiangyu Yin et al.

The reliability of agricultural machinery is increasingly constrained by harsh operating environments, complex dynamic loads, and evolving failure mechanisms, posing critical challenges to agricultural production efficiency and system resilience. Traditional maintenance methods, often reactive and resource-intensive, are insufficient to meet the demands of modern precision agriculture. There is a limited comprehensive review of how digital twin-based approaches can overcome these challenges by integrating data-driven models, intelligent prediction algorithms, and real-time maintenance decision-making strategies. Therefore, this paper reviews digital twin-based strategies for agricultural machinery damage prediction and maintenance optimization. Three key elements are analyzed: (1) Numerical modeling approaches for simulating mechanical behavior and predicting damage evolution under diverse operational conditions; (2) Advanced fault diagnosis techniques integrating machine learning algorithms and multi-source sensing to enable real-time monitoring, condition assessment, and early anomaly detection; (3) Additive manufacturing (AM) technologies for the rapid repair and reinforcement of damaged components, supporting efficient lifecycle management. By integrating numerical simulation, intelligent diagnostics, and additive repair into digital twin frameworks, a predictive, closed-loop maintenance paradigm is established, enabling proactive interventions and enhanced operational continuity. Key challenges, including material and process limitations, portability and equipment adaptation, as well as model fidelity and real-time integration, are discussed. This review aims to provide a systematic reference for advancing digital twin technologies in agricultural machinery, which outlines future directions toward intelligent, sustainable, and resilient agricultural systems.

Tim Wittenborg, Ildar Baimuratov, Ludvig Knöös Franzén et al.

The aerospace industry operates at the frontier of technological innovation while maintaining high standards regarding safety and reliability. In this environment, with an enormous potential for re-use and adaptation of existing solutions and methods, Knowledge-Based Engineering (KBE) has been applied for decades. The objective of this study is to identify and examine state-of-the-art knowledge management practices in the field of aerospace engineering. Our contributions include: 1) A SWARM-SLR of over 1,000 articles with qualitative analysis of 164 selected articles, supported by two aerospace engineering domain expert surveys. 2) A knowledge graph of over 700 knowledge-based aerospace engineering processes, software, and data, formalized in the interoperable Web Ontology Language (OWL) and mapped to Wikidata entries where possible. The knowledge graph is represented on the Open Research Knowledge Graph (ORKG), and an aerospace Wikibase, for reuse and continuation of structuring aerospace engineering knowledge exchange. 3) Our resulting intermediate and final artifacts of the knowledge synthesis, available as a Zenodo dataset. This review sets a precedent for structured, semantic-based approaches to managing aerospace engineering knowledge. By advancing these principles, research, and industry can achieve more efficient design processes, enhanced collaboration, and a stronger commitment to sustainable aviation.

Nasir U. Eisty, Jeffrey C. Carver, Johanna Cohoon et al.

In the evolving landscape of scientific and scholarly research, effective collaboration between Research Software Engineers (RSEs) and Software Engineering Researchers (SERs) is pivotal for advancing innovation and ensuring the integrity of computational methodologies. This paper presents ten strategic guidelines aimed at fostering productive partnerships between these two distinct yet complementary communities. The guidelines emphasize the importance of recognizing and respecting the cultural and operational differences between RSEs and SERs, proactively initiating and nurturing collaborations, and engaging within each other's professional environments. They advocate for identifying shared challenges, maintaining openness to emerging problems, ensuring mutual benefits, and serving as advocates for one another. Additionally, the guidelines highlight the necessity of vigilance in monitoring collaboration dynamics, securing institutional support, and defining clear, shared objectives. By adhering to these principles, RSEs and SERs can build synergistic relationships that enhance the quality and impact of research outcomes.

Oz Levy, Ilya Dikman, Natan Levy et al.

This paper explores how generative AI can help automate and improve key steps in systems engineering. It examines AI's ability to analyze system requirements based on INCOSE's "good requirement" criteria, identifying well-formed and poorly written requirements. The AI does not just classify requirements but also explains why some do not meet the standards. By comparing AI assessments with those of experienced engineers, the study evaluates the accuracy and reliability of AI in identifying quality issues. Additionally, it explores AI's ability to classify functional and non-functional requirements and generate test specifications based on these classifications. Through both quantitative and qualitative analysis, the research aims to assess AI's potential to streamline engineering processes and improve learning outcomes. It also highlights the challenges and limitations of AI, ensuring its safe and ethical use in professional and academic settings.

Lekshmi Murali Rani

The study of behavioral and social dimensions of software engineering (SE) tasks characterizes behavioral software engineering (BSE);however, the increasing significance of human-AI collaboration (HAIC) brings new directions in BSE by presenting new challenges and opportunities. This PhD research focuses on decision-making (DM) for SE tasks and collaboration within human-AI teams, aiming to promote responsible software engineering through a cognitive partnership between humans and AI. The goal of the research is to identify the challenges and nuances in HAIC from a cognitive perspective, design and optimize collaboration/partnership (human-AI team) that enhance collective intelligence and promote better, responsible DM in SE through human-centered approaches. The research addresses HAIC and its impact on individual, team, and organizational level aspects of BSE.

Max Neuwinger, Dirk Riehle

The design of effective programming languages, libraries, frameworks, tools, and platforms for data engineering strongly depends on their ease and correctness of use. Anyone who ignores that it is humans who use these tools risks building tools that are useless, or worse, harmful. To ensure our data engineering tools are based on solid foundations, we performed a systematic review of common programming mistakes in data engineering. We focus on programming beginners (students) by analyzing both the limited literature specific to data engineering mistakes and general programming mistakes in languages commonly used in data engineering (Python, SQL, Java). Through analysis of 21 publications spanning from 2003 to 2024, we synthesized these complementary sources into a comprehensive classification that captures both general programming challenges and domain-specific data engineering mistakes. This classification provides an empirical foundation for future tool development and educational strategies. We believe our systematic categorization will help researchers, practitioners, and educators better understand and address the challenges faced by novice data engineers.

Daisuke Ishihara, Motonobu Kimura, Ryotaro Suetsugu et al.

In this study, we propose a 2.5-dimensional (2.5-D) structure approach for insect-mimetic flapping-wing air vehicles (FWAVs). The proposed approach includes design and fabrication methods. To our best knowledge, this study is the first one that develops a flapping system for FWAVs without any post-assembly of structural components. The proposed structure consists of a transmission, a supporting frame, and elastic wings. The transmission transforms the small translational displacement produced by a piezoelectric bimorph into a large rotational displacement of the wings. The size is reduced using the proposed design method. Then, the 2.5-D structure is fabricated using the proposed polymer MEMS micromachining method. The presented micro flapping system flaps the wing with a stroke angle and flapping frequency comparable to those of actual small insects using resonance. The results confirm that the proposed approach can miniaturize FWAVs.

Adrian Bajraktari, Michelle Binder, Andreas Vogelsang

Modern science is relying on software more than ever. The behavior and outcomes of this software shape the scientific and public discourse on important topics like climate change, economic growth, or the spread of infections. Most researchers creating software for scientific purposes are not trained in Software Engineering. As a consequence, research software is often developed ad hoc without following stringent processes. With this paper, we want to characterize research software as a new application domain that needs attention from the Requirements Engineering community. We conducted an exploratory study based on 8 interviews with 12 researchers who develop software. We describe how researchers elicit, document, and analyze requirements for research software and what processes they follow. From this, we derive specific challenges and describe a vision of Requirements Engineering for research software.

Ashish Majithia, Darshita Shah, Jatin Dave et al.

Robots are becoming integral to society and industries due to their enormous advantages. Among the various categories of mobile robots, including wheeled robot, tracked robot, and legged robots, the latter stands out as a better choice for most field applications due to their adaptability across various terrains. The purpose of this review is to study the locomotion capabilities of quadruped robots and judge their suitability for climbing applications as most unexplored applications of automation and robotics are required to climb. This review explores the locomotion capabilities of quadruped robots. It covers different aspects of quadruped robots like types of legs, leg design, gait patterns, and their mathematical formulations, and types of motions like omnidirectional motion and body sway motion. It also emphasizes its fault-tolerant gait, adaptability, and reliability. The paper also focuses on slope and stair climbing, outlining design requirements and applications. The study includes an examination of the applicability of various gaits under different conditions and the methods for increasing stability without compromising speed. Overall, the review serves as a valuable resource for future research in this field.

Yongbai Sha, Donghe Han, Donghu Chen et al.

The iron roughneck is an automated piece of equipment utilized for the connection and removal of drilling tools. This paper presents the design of an integrated iron roughneck, providing a detailed introduction to its clamp body structure, along with an analysis of its structural characteristics and performance requirements. The study delves into the integration mode and working characteristics of the clamping mechanism and spin buckle mechanism for the integrated upper clamp body structure of the iron roughneck. Additionally, this paper conducts an in-depth theoretical study on the spin buckle mechanism. Firstly, it analyzes the actual working condition of the spin buckle roller from two perspectives, namely contact theory and rolling friction theory, determining the structural form of the spin buckle roller. Secondly, it investigates the relative displacement between the spin buckle mechanism and the drilling tool, proposing a design method for the floating device mounted on the spin buckle roller and establishing the kinematic equation of the spin buckle roller under the influence of the floating device. Furthermore, the kinematic equations of the spin buckle roller under the influence of the floating device are established. Finally, a dynamics simulation experiment is performed to simulate the working process of the spin buckle mechanism under actual working conditions, analyzing the dynamics and kinematics of the spin buckle mechanism and obtaining the relevant parameter curves of the spin buckle mechanism and drilling tools. Through data comparison and analysis, the correctness of the theoretical analysis results and the rationality of the performance and structure of the spin buckle mechanism are verified.

Jian-ping Yuan, H. Liu, Yang Zhang

Aiming at the problem that the extraction effect of abnormal vibration characteristics of current engineering electric drive construction machinery is poor, an automatic detection method of abnormal vibration of engineering electric drive construction machinery is proposed. Firstly, the abnormal data of mechanical abnormal vibration are collected and identified, and based on the identification results, the dynamic characteristic model of engineering electric drive construction machinery is constructed. The empirical mode decomposition and Hilbert spectrum are used to decompose the abnormal vibration of machinery, calculate the response amplitude and time lag value generated by the operation of the engineering electric drive construction machinery to simplify the diagnosis steps of the abnormal vibration of the engineering electric drive construction machinery and realize the positioning and detection of the transverse and torsional vibration characteristics. Finally, through experiments, it was confirmed that the automatic detection method of the abnormal vibration of the engineering electric drive construction machinery has high accuracy, which can better ensure the healthy operation of mechanical equipment. This endeavor aims to establish scientific methodologies and standards for fault detection techniques in construction machinery, ultimately forging a versatile solution better suited for detecting and resolving issues across various categories of construction equipment.

V. Pagare, B. M. Nandede, Mohit Kumar et al.

The engineering properties of the crop are an important factor in effectively designing agricultural machines. In terms of onion seeding or planting, various physical, mechanical, and frictional properties play a crucial role in the development of planting machines and performance assessment. The study on the engineering properties of onion seeds and their implications for agricultural machinery design supports the adoption of sustainable agricultural practices. Efficient and precise planting systems can optimize resource utilization, reduce wastage, and enhance overall agricultural productivity. This focus on engineering aspects in machinery design indirectly contributes to sustainable agriculture practices, which prioritize minimizing environmental impacts while ensuring food security. Ultimately, by emphasizing the importance of engineering properties, the study promotes the development of agricultural systems that align with sustainability goals. In this study, various engineering properties of onion seeds concerning the different soaking times have been studied. An experiment was performed to assess the change in engineering properties of onion seeds (Gavran, Puna fursungi, and KSP-117) by soaking them in water with a predefined duration (Dry seed, Day 1 and Day 2). The average moisture content of onion seeds varied from 9.44 to 40.87 % (d.b.). Sphericity, aspect ratio, geometric mean diameter, and thousand seed weight varied in the range from 0.72 to 0.77, 0.71 to 0.76, 2.05 to 2.18 mm, and 3.50 to 6.75 g, respectively. The bulk density of onion seeds was observed in the range of 489.64 to 526.24 kg/m3. It was observed that there was a gradual increment in bulk density with an increase in soaking time. However, a gradually decreasing trend was observed in the case of true density. The true density of onion seeds varied from 1127.14 to 1245.64 kg/m3. The coefficient of friction of onion seeds on a selected material (Wood, Plastic, Mild steel, and Aluminum) showed gradual growth concerning the soaking time.

Jan Heine, Herbert Palm

The increasing pressure within VUCA (volatility, uncertainty, complexity and ambiguity) driven environments causes traditional, plan-driven Systems Engineering approaches to no longer suffice. Agility is then changing from a "nice-to-have" to a "must-have" capability for successful system developing organisations. The current state of the art, however, does not provide clear answers on how to map this need in terms of processes, methods, tools and competencies (PMTC) and how to successfully manage the transition within established industries. In this paper, we propose an agile Systems Engineering (SE) Framework for the automotive industry to meet the new agility demand. In addition to the methodological background, we present results of a pilot project in the chassis development department of a German automotive manufacturer and demonstrate the effectiveness of the newly proposed framework. By adopting the described agile SE Framework, companies can foster innovation and collaboration based on a learning, continuous improvement and self-reinforcing base.

B. Abolpour, R. Hekmatkhah, A.B. Ansari

The analysis of heat transfer in the channel in many types of heat exchangers, such as electric cooling equipment, solar collectors, heat exchanger systems, high-performance boilers, gas turbine blade coolers, etc., is the basis of the design, construction, and optimization. Controlling heat transfer to increase the rate of heat transfer in such systems by improving the cooling method is an effective energy engineering from the point of saving energy. Increasing the heat transfer performance in the scales of macro and microchannels is crucial. The use of expanded surfaces in the channel is a practical method to increase the heat transfer coefficient. In the upcoming article, the smart design of a two-dimensional nanofluid heat exchanger has been studied numerically in order to achieve optimal performance conditions in terms of heat transfer rate, the amount of deposition of nanoparticles in the structure of the exchanger, as well as the fluid pressure drop while passing through it. It can be seen that the geometric structure optimized by the combination of genetic algorithm and computational fluid dynamics of this channel causes an increase of 1.14% in the enthalpy of the passing nanofluid, a decrease of 11.21% in the pressure drop of the passing nanofluid, and a reduction of 8.44% percentage in the deposition of nanoparticles inside the channel and a total increase of 24.82% in the fitting function defined in terms of these three variables, compared to the channel designed in previous studies. Therefore, this optimal channel has a higher heat transfer rate with a pressure drop and a lower amount of nanoparticle deposition compared to the previous channel, which proves the ability of the genetic algorithm with computational fluid dynamics in the optimal design of all types of heat exchangers.

Yukihiko OKUDA, Zuoyi KANG, Akemi NISHIDA et al.

The influence evaluation against projectile impacts has attracted much attention for the safety assessment of nuclear-facility buildings subjected to projectiles, such as tornado missiles or aircraft. Many experimental studies have been reported on the impact resistance of reinforced concrete (RC) structures. Based on these results, many empirical formulas for penetration depth, scabbing limit thickness, and perforation-limit thickness have been proposed for the local damage evaluation. However, most formulas were derived from impact tests based on normal impact to target structures using rigid projectiles that do not deform during impact. Therefore, this study develops a local damage evaluation method considering the rigidity of projectiles and oblique impacts that should be considered in realistic projectile impact phenomena. Specifically, we focused on scabbing, defined as the peeling off the back face of the target opposite the impact face, and conducted impact tests on RC panels to clarify the scabbing limit by changing the impact velocity in an oblique impact. The effects of the projectile rigidity and oblique impact on the scabbing limit were investigated based on the test results. This work presents the test conditions, equipment, results, and the scabbing limit on the local damage to RC panels subjected to oblique impacts.

Han Yu, Xiaofan Zhang, Xiaobiao Shan et al.

This work presents a novel bird-shaped broadband piezoelectric energy harvester based on a two-DOF crossed beam for low-frequency environmental vibrations. The harvester features a cantilever mounted on a double-hinged beam, whose rotating motions effectively diminish its natural frequencies. Numerical simulation based on the finite element method is conducted to analyze the modal shapes and the harmonic response of the proposed harvester. Prototypes are fabricated and experiments are carried out by a testing system, whose results indicate a good agreement with the simulation. The multi-frequency energy harvesting is achieved at the first-, second-, and fifth-order resonances. In particular, the proposed harvester demonstrates the remarkable output characteristics of 9.53 mW and 1.83 mW at frequencies as low as 19.23 HZ and 45.38 Hz, which are superior to the majority of existing energy harvesters. Besides, the influences of key parameters on the harvesting performance are experimentally investigated to optimize the environmental adaptability of the harvester. This work provides a new perspective for efficiently harvesting the low-frequency vibration energy, which can be utilized for supplying power to electronic devices.

Ijlal Syaifullah, Ratu Fenny Muldiani, Teguh Sasono

Pemeliharaan pembersihan permukaan luar fin-tube pada air-cooled heat exchanger dilakukan untuk menjaga performa agar tidak terganggu. Penurunan performa terjadi karena pengendapan zat pengotor berupa debu di permukaan luar fin-tube. Debu terakumulasi di atas sirip dan di antara sirip, debu terkumpul dalam bentuk bubuk halus dan bila terkena air dapat membentuk endapan berkerak. Pemeliharaan pembersihan masih dilakukan dengan menyeprotkan air melalui selang yang dilakukan sepenuhnya menggunakan tenaga manusia selama 80 jam untuk keseluruhan permukaan fin-tube. Untuk meningkatkan efektifitas pembersihan diperlukan inovasi perancangan sistem pembersihan dengan mengalirkan air melalui pipa dan nozel. Rancangan dilakukan secara manual menggunakan perhitungan berprinsip dasar hukum Bernoulli serta dilakukan simulasi menggunakan Ansys Fluent. Rancangan menghasilkan tekanan kerja yang cukup untuk menyuplai air dan kecepatan inlet nozel 0,37 m/s pada masing – masing nozel berjumlah 36 buah setiap fan atau 648 buah untuk mencakup 18 fan. Pembersihan dapat dilakukan dengan baik ketika kecepatan masuk nozel sebesar 0,37 m/s yang membutuhkan waktu pembersihan 59 menit dan mampu membersihkan debu sebanyak 2,40×10-8 kg dengan area pembersihan sebesar 0,75 m2 setiap nozelnya. Sistem pembersihan dioperasikan secara manual bertahap setiap bulan, jika diakumulasikan akan membutuhkan waktu 17,70 jam untuk membersihkan secara keseluruhan. Untuk mendapatkan hasil yang baik proses pembersihan hanya dapat berlangsung ketika fan tidak beroperasi.