Bio-inspired functionally graded cellular materials (FGCM) have improved performance in energy absorption compared with a uniform material (UCM). In this work, sheet-based and strut-based gyroid structures densities are designed manufactured by stereo-lithography (SLA). For comparison, also manufactured, the generated different gradients. The mechanical behaviors of these under compressive loads investigated. Furthermore, anisotropy effective elastic modulus unit estimated numerical...

To solve the problem of low efficiency, complexity interactive operation, and high degree manual intervention in existing methods, we propose a novel approach based on sparse voxel octree 3D convolution neural networks (CNNs) for segmenting classifying tooth types dental models. First, classification method capitalized two-level hierarchical feature learning is proposed to misclassification highly similar categories. Second, exploit an improved three-level segmentation deep features conduct...

Periodic cellular structures with excellent mechanical properties widely exist in nature. A generative design and optimization method for triply periodic level surface (TPLS)-based functionally graded is developed this work. In the proposed method, by controlling density distribution, designed TPLS-based can achieve better structural or thermal performances without increasing its weight. The technique be divided into four steps. First, modified 3D implicit functions of minimal surfaces are...

Restoring the correct masticatory function of broken teeth is basis dental crown prosthesis rehabilitation. However, it a challenging task primarily due to complex and personalized morphology occlusal surface. In this article, we address problem by designing new two-stage generative adversarial network (GAN) reconstruct surface in data-driven perspective. Specifically, first stage, conditional GAN (CGAN) designed learn inherent relationship between defective tooth target crown, which can...

Abstract The tooth preparation margin line has a significant impact on the marginal fitness for dental restoration. Among previous methods, extraction of mainly relies manual interaction, which is complicated and inefficient. Therefore, we propose method to extract with convolutional neural network based sparse octree (S‐Octree) structure. First, preparations are rotated augment dataset. Second, models treated as point cloud labels through spatial partition S‐Octree. Then, feature line,...

Restoring the normal masticatory function of broken teeth is a challenging task primarily due to defect location and size patient's teeth. In recent years, although some representative image-to-image transformation methods (e.g. Pix2Pix) can be potentially applicable restore missing crown surface, most them fail generate dental inlay surface with realistic details occlusal groove) that are critical restoration defective varying shapes. this article, we design computer-aided Deep...

Abstract Material extrusion 3D printing often suffers from voids and poor interlayer bonding, which significantly weaken the mechanical properties of printed parts. To address these issues, this paper proposes a path‐following roller compaction method aimed at reducing improving bonding in short carbon fiber reinforced nylon A mathematical model is developed to explain how enhances strength reduces porosity, with quantifiable improvements. dual‐roller system designed dynamically adjust...

As a key component of soft robots, actuators are responsible for producing motion. There has been continuous research on searching efficient and systematical design tools to accommodate various applications actuators. In this paper, method using principal strain field achieve desired shapes in is presented. An actuator model which consists pneumatic chamber an adaptive frame constraint structure developed based the inputs initial target pre-simulation. The constrains perpendicular direction...

An integrated single‐tooth modeling scheme is proposed for the 3D dental model acquired by optical digitizers. The cores of are fusion regions extraction, single tooth shape restoration, and separation. According to “valley” shape‐like characters between two adjoining teeth, analyzed classified based on minimum curvatures surface. restored according bioinformation along hole boundary, which generated after region being removed. By using extracted boundary from blending teeth soft tissues as...

The aim of this study was to develop a prototype three-dimensional optical motion capture system based on binocular stereo vision, Back-propagation (BP) Neural Network and 3D compen-sation method for accurate real-time recording mandibular movement. A specialized compensation eliminate the involuntary vibration motions by human heart beating respiration. kind visual measurement projection line calibration BP neural network is proposed solve problem high complexity camera process low accuracy...

The tooth defect is a frequently occurring disease within the field of dental clinic. However, traditional manual restoration for defective needs an especially long treatment time, and computer aided design manufacture (CAD/CAM) systems fail to restore personalized anatomical features natural teeth. Aiming address shortcomings existed methods, this article proposes intelligent network model designing crown surface based on conditional generative adversarial networks. Then, data set training...

Objective. Restoring the correct masticatory function of partially edentulous patient is a challenging task primarily due to complex tooth morphology between individuals. Although some deep learning-based approaches have been proposed for dental restorations, most them do not consider influence biological characteristics occlusal surface reconstruction. Description. In this article, we propose novel dual discriminator adversarial learning network address these challenges. particular,...

The application of additive manufacturing in the field aviation hydraulics greatly improves design freedom hydraulic valve internal flow channels. Pressure loss channels is a primary factor that designers need to consider, and rapid prediction pressure very helpful for channel design. At present, most studies only focus on how much an (AM) reduced compared with original channel, mathematical model AM curved still lacking. In this paper, was firstly studied, main parameters affecting were...

Abstract Motivation RNA design is the search for a sequence or set of sequences that will fold to desired structure, also known as inverse problem folding. However, designed by existing algorithms often suffer from low ensemble stability, which worsens long design. Additionally, many methods only small number satisfying MFE criterion can be found each run These drawbacks limit their use cases. Results We propose an innovative optimization paradigm, SAMFEO, optimizes objectives (equilibrium...