Melting heat transfer analysis of electrically conducting nanofluid flow over an exponentially shrinking/stretching porous sheet with radiative heat flux under a magnetic field

Modern magnetic nanomaterial processing operations are progressing rapidly and require increasingly sophisticated mathematical models for their optimization. Stimulated by such developments, in this paper, a theoretical and computational study of a steady magnetohydrodynamic nanofluid over an exponentially stretching/shrinking permeable sheet with melting (phase change) and radiative heat transfer is presented. Besides, wall transpiration, that is, suction and blowing (injection), is included. This study deploys Buongiorno's nanofluid model, which simulates the effects of the Brownian motion and thermophoresis. The transport equations and boundary conditions are normalized via similarity transformations and appropriate variables, and the similarity solutions are shown to depend on the transpiration parameter. The emerging dimensionless nonlinear coupled ordinary differential boundary value problem is solved numerically with the Newton-Fehlberg iteration technique. Validation with special cases from the literature is included. The increase in the magnetic field, that is, the Hartmann number, is observed to elevate nanoparticle concentration and temperature, whereas it dampens the velocity. Higher values of the melting parameter consistently decelerate the boundary layer flow and suppress temperature and nanoparticle concentration. A higher radiative parameter strongly increases temperature (and thermal boundary layer thickness) and weakly accelerates the flow. The increase in the Brownian motion reduces nanoparticle concentrations, whereas a greater thermophoretic body force strongly enhances them. The Nusselt number and Sherwood number are observed to be decreased with an increasing Hartmann number, whereas they are elevated with a stronger wall suction and melting parameter.     

太阳能/氢能长航时无人机重量能量耦合分析

提出一种太阳能/氢能长航时无人机重量能量耦合分析方法,即在太阳能/氢能长航时无人机的概念设计阶段,通过在质量与能量迭代求解过程中嵌入与能量相关的参数的求解,从而计算出相应总体参数下的质量和能量情况,得到无人机基本性能指标的估算。通过重量能量耦合分析方法,无人机的质量迭代计算得到收敛、能量结余系数和有效载荷系数2个重要设计指标在求解过程中获得收敛。由于提出的分析方法可完成无人机重量估算,及重要设计指标的估算,因而对于太阳能/氢能长航时无人机的概念设计具有重要意义。     

E?cient Video Cutout by Paint Selection

Video cutout refers to extracting moving objects from videos, which is an important step in many video editing tasks. Recent algorithms have limitations in terms of e?ciency, interaction style, and rob...     

Optimal-correlation-based reconstruction for distributed compressed video sensing

Distributed compressed video sensing (DCVS) is a framework that integrates both compressed sensing and distributed video coding characteristics to achieve a low-complexity video coding. However, how to design an efficient joint reconstruction by leveraging more realistic signal models is still an open challenge. In this paper, we present a novel optimal-correlation-based reconstruction method for compressively sampled videos from multiple measurement vectors. In our method, the sparsity is mainly exploited through inter-signal correlations rather than the traditional frequency transform, wherein the optimization is not only over the signal space to satisfy data consistency but also over all possible linear correlation models to achieve minimum-l₁-norm correlation noise. Additionally, a two-phase Bregman iterative based algorithm is outlined for solving the optimization problem. Simulation results show that our proposal can achieve an improved reconstruction performance in comparison to the conventional approaches, and especially, offer a 0.7–9.9 dB gain in the average PSNR for DCVS.     

Genes and Pathways Involved in Adult Onset Disorders Featuring Muscle Mitochondrial DNA Instability

Replication and maintenance of mtDNA entirely relies on a set of proteins encoded by the nuclear genome, which include members of the core replicative machinery, proteins involved in the homeostasis of mitochondrial dNTPs pools or deputed to the control of mitochondrial dynamics and morphology. Mutations in their coding genes have been observed in familial and sporadic forms of pediatric and adult-onset clinical phenotypes featuring mtDNA instability. The list of defects involved in these disorders has recently expanded, including mutations in the exo-/endo-nuclease flap-processing proteins MGME1 and DNA2, supporting the notion that an enzymatic DNA repair system actively takes place in mitochondria. The results obtained in the last few years acknowledge the contribution of next-generation sequencing methods in the identification of new disease loci in small groups of patients and even single probands. Although heterogeneous, these genes can be conveniently classified according to the pathway to which they belong. The definition of the molecular and biochemical features of these pathways might be helpful for fundamental knowledge of these disorders, to accelerate genetic diagnosis of patients and the development of rational therapies. In this review, we discuss the molecular findings disclosed in adult patients with muscle pathology hallmarked by mtDNA instability.     

An iterative method for suboptimal control of linear time-delayed systems

This article presents a new approach for solving the Optimal Control Problem (OCP) of linear time-delay systems with a quadratic cost functional. The proposed method can also be used for designing optimal control time-delay systems with disturbance. In this study, the Variational Iteration Method (VIM) is employed to convert the original Time-Delay Optimal Control Problem (TDOCP) into a sequence of nonhomogeneous linear two-point boundary value problems (TPBVPs). The optimal control law obtained consists of an accurate linear feedback term and a nonlinear compensation term which is the limit of an adjoint vector sequence. The feedback term is determined by solving Riccati matrix differential equation. By using the finite-step iteration of a nonlinear compensation sequence, we can obtain a suboptimal control law. Finally, Illustrative examples are included to demonstrate the validity and applicability of the technique.     

Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation

Adhesively bonded joints have been extensively employed in the aeronautical and automotive industries to join thin-layer materials for developing lightweight components. To strengthen the structural integrity of joints, it is critical to estimate and improve joint failure loads effectually. To accomplish the aforementioned purpose, this paper presents a novel deep neural network (DNN) model-enabled approach, and a single lap joint (SLJ) design is used to support research development and validation. The approach is innovative in the following aspects: (i) the DNN model is reinforced with a transfer learning (TL) mechanism to realise an adaptive prediction on a new SLJ design, and the requirement to re-create new training samples and re-train the DNN model from scratch for the design can be alleviated; (ii) a fruit fly optimisation (FFO) algorithm featured with the parallel computing capability is incorporated into the approach to efficiently optimise joint parameters based on joint failure load predictions. Case studies were developed to validate the effectiveness of the approach. Experimental results demonstrate that, with this approach, the number of datasets and the computational time required to re-train the DNN model for a new SLJ design were significantly reduced by 92.00% and 99.57% respectively, and the joint failure load was substantially increased by 9.96%.     

微形电机机壳16工步连续级进弯曲模结构设计

针对微形电机机壳采用板料卷圆生产的工艺要求,设计了一种7工位连续冲裁、6工位连续弯曲冲裁、单工位落料的16工步的360°卷圆成形连续级进模。模具整体工序包括连续冲裁、连续弯曲冲裁和冲裁落料3道工序。针对壳件的成形特征,采用1个工位冲出定位孔,6个工位对壳体上的9个特征进行连续冲裁成形及倒角成形;针对壳件的弯曲成形,采用6个工位对冲裁壳体进行连续弯曲成形,工步中设置了3个弯曲成形机构,分别为仿形凹模机构、楔紧块驱动的双侧滑块挤压弯曲机构及接口压入成形机构,来实现壳件的360°卷圆成形;为保证后续弯曲工步载料及内圆成形,将内圆成形件设计成一种可以跟随弯曲凹模做小距离的向上浮动的成形构件。最终成形的壳件由单冲头落料,并由气缸驱动的接件圆柱进行接料转移。模具结构整体布局设计简单合理,机构设置巧妙,可为同类壳件的生产提供有益借鉴。     

卡头零件多工位级进模设计

根据卡头零件的结构特点及实际生产的技术要求,进行多工位级进模排样设计,由于卡头零件结构为对称结构,故其排样设计采用对称单排结构设计,导正孔设计采用零件本身处于对称轴处的工艺孔,以保证板料冲裁、折弯时的强度,以及确保送料精度,同时采用导正销确定步距。该卡头零件多工位级进模采用顺装结构,使得工件与废料自然分离,有利于减少人工成本。同时,由于该零件折弯次数较多,为保证板料成形精度,故合理地进行了空工位的设计,避免成形零件发生回弹等影响零件精度。生产结果表明,卡头零件多工位级进模能满足产品生产要求,该模具的材料利用率高达75.62%,极大地节省了材料。     

一种适用于超高速冲压新型产品的冲裁模具结构

为实现超高速模具量产,对经典的U型冲裁结构进行了优化,将原始的分离式U型冲裁和下废料双工位优化为单工位一步式冲裁和下废料工艺,新结构将产品切除和废料切除工位融合到一起,提高了U型凸模的强度、缩短了模具长度、减小了跳废料率,保证了产品质量;新结构在同一工位上同时获得产品且切除废料,无需采用连料方式传送废料,从而缩短了原材料的宽度,降低了材料成本,减少了误送。同时,模具速度从原有的800次·min-1提高到2000次·min-1,实现了超高速的目的,并且该新结构被成功地推广到其他相类似的结构中,实现了技术的互通性。