High-entropy alloys (HEAs) with face-centered cubic crystal structure (FCC) usually have good ductility but relatively low strength. In this work, we propose a new strategy to address the insufficient strength of FCC ...
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Owing to the unique technological merits of additive manufacturing (AM), design for AM, particularly eco-design for AM, has been gaining attention in improving the sustainable performance of AM-fabricated (AMed) parts...
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Owing to the unique technological merits of additive manufacturing (AM), design for AM, particularly eco-design for AM, has been gaining attention in improving the sustainable performance of AM-fabricated (AMed) parts. The main challenge in harvesting potential sustainability benefits is how to capture the impact of design on sustainable performance. Though several existing studies adopted quantitative evaluation on AM sustainability and investigated the relationships between design information and sustainability information of AMed part, the sustainability information is still unavailable in the design phase. This hardly guides eco-design for AM in practice. To support the increasing industrial applications of AM, this paper illustrates related knowledge, that is, material-process-structure-ecoProperty (MPSeP) relationships to connect design and sustainability information in eco-design for AM. An ontology-based method is proposed to model the MPSeP relationships of the AMed part in a structured way. An example of an AMed hydraulic valve body was used to demonstrate the MPSeP modeling process. It is discussed that how the constructed model effectively assists AM designers through providing eco-design recommendation, and enables design software tools to perform sustainability analysis towards eco-design for AM.
Here, we demonstrate the application of highly ordered, periodic Ag/Au core-shell triangle nanotube arrays as an ultrasensitive and low-cost surface-enhanced Raman scattering (SERS) substrate for the first time. The a...
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PEMFCs are widely considered as the most promising power sources, particularly for heavy-duty vehicles (HDVs). Unfortunately, the degradation of MEAs under HDV condition remains insufficiently studied. In this work, w...
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The AA2219 is an Al-Cu alloy with widespread engineering applications. The sheet parts of this alloy are produced by metal forming and are subjected to age hardening (e.g., T6 temper) for strengthening. The cold work ...
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Heterogeneous structures have been recognized as the promising strategy to reinforce dielectric polarization response through constructing intimate heterogeneous interfaces. However, the preparation of controllable an...
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A hardening response is often observed for shear-dominated large deformation of Carbon Fibre Reinforced Plastics (CFRP). This non-linear response is often modelled by fitting a strain hardening law against experimenta...
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Using the net of factors (IoT) technology has led to a resurgence in improving intelligent farms. The capacity to music and reveal crops, animals, and different farm activities has advanced the performance of farming ...
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ISBN:
(纸本)9798350357769
Using the net of factors (IoT) technology has led to a resurgence in improving intelligent farms. The capacity to music and reveal crops, animals, and different farm activities has advanced the performance of farming operations. Clever farms enjoy the blessings of connectivity, allowing farmers to be more informed and higher prepared for any ability issues. This increased connectivity has also opened the door for new security problems. This paper looks at intelligent farm IoT structures' usability and safety features. The paper investigates the overall protection levels of the systems and the various security measures that may be implemented as an excellent way to discover and guard in opposition to ability threats. It also evaluates the usability of the structures and assesses the extent of convenience it offers for agriculture employees. The paper also evaluates the present-day enterprise tendencies in IoT protection, value, and potential future trends. Ultimately, the paper gives insights into modern and future security and usability measures that may be taken to ensure the protection and effectiveness of clever farm IoT systems. The paper examines the usability and protection capabilities of innovative Farm Internet of Things (IoT) structures, which provide farmers with the potential to monitor, manipulate, and control various farm elements remotely. Usability functions consisting of user interfaces, device connectivity, and communication protocols are analyzed to evaluate how user-friendly the device is. Additionally, safety functions consisting of authentication, authorization, encryption, and getting entry to manage are tested to decide how the gadget can defend the statistics and assets of the farm. Moreover, this paper touches upon the contemporary and destiny-demanding situations related to those structures, including scalability, cost, and privacy. ultimately, the paper concludes with a comprehensive assessment of the usability and security functions and
To facilitate versatile application of polyimide (PI) under harsh conditions, the PI-PDA@PSF@TO coating was successfully obtained. Upon coating damage, PI-PDA@PSF@TO persists in the salt environment for 8 days. Compar...
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This study introduces a new EMG-based muscle fatigue index that combines EMG signal features in spatial, temporal, and spectral domains. This index incorporates a novel spatial EMG feature: Eigen Ratio Based Fatigue I...
This study introduces a new EMG-based muscle fatigue index that combines EMG signal features in spatial, temporal, and spectral domains. This index incorporates a novel spatial EMG feature: Eigen Ratio Based Fatigue Index (ERFI) that can capture the variations in the active motor unit distribution during dynamic muscle fatiguing exercises. The new fatigue index maps the ERFI, a wavelet-based feature, a spectral feature, and an amplitude-based feature to the reduction in maximum voluntary contraction, which is considered the direct measure of muscle fatigue. The mapping function was implemented as a Multi-layer Perceptron (MLP). To evaluate the fatigue index, several fatigue tests under various speed and load conditions were conducted on four subjects. ERFI showed a significant variation (p < 0.01) over time for more than 85 % of the tests. Several MLP input configurations to predict muscle fatigue were compared in this study based on various combinations of EMG features. An input configuration that used the novel spatial EMG feature among five other features performed the best and was able to predict muscle fatigue with a mean coefficient of determination over 65 %. It was also noticed that ERFI’s relationship with muscle fatigue is less dependent on the load and speed of the cyclic exercise when compared with other EMG features that were proposed in previous studies. Thus it can be considered a better alternative to use in EMG-based control of active prosthetic and orthotic devices to compensate for the effect of muscle fatigue.
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