State‐of‐the‐Art Overview and Recent Trends in Additive Manufacturing: Opportunities, Limitations, and Current Market

Velu, Rajkumar; Ramachandran, Murali Krishnan; Kumar, S. Anand

doi:10.1002/9783527835478.ch1

Cited by 3 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are 1608 training images of five types of leather, 366 test images, and 1974 sample images in total. After repeated experiments, it is proved that using this scale of data set training can make the network stable; At the same time, the experiment ensures that if multiple samples cut from the same high-definition leather image are placed in the same group [30], which ensures the reliability of the experiment results. Table 1 shows the specific number distribution of training sets and test sets of five types of samples.…”

Section: Fig 1 Classification Process Based On Residual Networkmentioning

confidence: 98%

Leather Defect Detection Method in Clothing Design Based on TDENet

Wang,

Kyoung

2023

IEEE Access

View full text Add to dashboard Cite

Defect detection models generally require a large number of samples to learn the features of defects, but in practical scenarios, it is difficult to collect samples of important defects. How to use a small number of samples to learn the features of rare defects has become a challenging problem. In order to promote research on defect detection with few samples, a new leather surface defect dataset was constructed, including defect samples and defect free samples. A two-stage defect enhancement network was proposed to improve the performance of leather defect detection in small sample scenarios. It utilized defect free samples and divided the entire training process into two stages. The first stage of training requires a large number of defective samples, while the second stage of training only requires a small number of defective and flawless samples. In addition, a defect highlighting module has been proposed to better utilize defect free samples to enhance the features of leather defect areas. The experimental results show that compared with existing leather defect detection methods, this algorithm can effectively detect various defects in different materials of leather, with high accuracy and fast speed.

show abstract

Section: Fig 1 Classification Process Based On Residual Networkmentioning

confidence: 98%

Leather Defect Detection Method in Clothing Design Based on TDENet

Wang,

Kyoung

2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Vat photopolymerization techniques cover a variety of techniques with varying part-size ranges, printing speeds, and resolution (Figure c). Based on these versatile lithographic techniques, photopolymers and their use cases are continuously moving away from prototyping and small-scale series toward personalized products, e.g., personalized biosensors, protective gear for sports equipment, dental restorations, orthodontic retainers, as well as complex-shaped large-scale series parts, e.g., high-temperature resistant components of aircrafts or complex lattice structures . This leads to specific requirements in terms of structural and especially thermomechanical properties, as well as functional requirements such as recyclability, haptic, and optical properties.…”

Section: Introductionmentioning

confidence: 99%

From Unregulated Networks to Designed Microstructures: Introducing Heterogeneity at Different Length Scales in Photopolymers for Additive Manufacturing

Ahmadi,

Ehrmann,

Koch

et al. 2024

Chem. Rev.

View full text Add to dashboard Cite

Photopolymers have been optimized as protective and decorative coating materials for decades. However, with the rise of additive manufacturing technologies, vat photopolymerization has unlocked the use of photopolymers for three-dimensional objects with new material requirements. Thus, the originally highly cross-linked, amorphous architecture of photopolymers cannot match the expectations for modern materials anymore, revealing the largely unanswered question of how diverse properties can be achieved in photopolymers. Herein, we review how microstructural features in soft matter materials should be designed and implemented to obtain high performance materials. We then translate these findings into chemical design suggestions for enhanced printable photopolymers. Based on this analysis, we have found microstructural heterogenization to be the most powerful tool to tune photopolymer performance. By combining the chemical toolbox for photopolymerization and the analytical toolbox for microstructural characterization, we examine current strategies for physical heterogenization (fillers, inkjet printing) and chemical heterogenization (semicrystalline polymers, block copolymers, interpenetrating networks, photopolymerization induced phase separation) of photopolymers and put them into a material scientific context to develop a roadmap for improving and diversifying photopolymers' performance.

show abstract

“…The AM techniques in the current sector are advancing from day to day [5][6][7]. According to Lemu [8], the concept of AM holds a pivotal role in what is commonly referred to as "Industry 4.0".…”

Section: Introductionmentioning

confidence: 99%

Critical Review of Comparative Study of Selective Laser Melting and Investment Casting for Thin-Walled Parts

Dejene,

Lemu,

Gutema

2023

Materials

View full text Add to dashboard Cite

Thin-walled structures are a significant and growing portion of engineering construction, with a wide range of applications, including storage vessels, industrial buildings, warehouses, aircraft, automobiles, bridges, ships, and oil rigs. Thin-walled components with minimum thickness without compromising strength and other quality characteristics are the desire of modern industry. Reducing wall thickness not only aids in lowering the cost of production. It also improves the effectiveness of engineering systems, resulting in lower fuel consumption and lower emissions of hazardous gases to the environment. Nowadays, even though thin-walled parts are demanded, the constraints of the production process, quality, and reliability are the concerns of current research and development. The ability to produce parts with intricate geometries and tight dimensional tolerances are important criteria for advanced manufacturing processes. In the early days of society, investment casting was used to produce jewelry, weapons, and statues. In modern industry, investment casting is still used to produce thin-walled and intricate parts such as turbine blades. The current advancements in SLM, which has the capacity to produce thin-walled and intricate parts, have recently attracted attention due to several benefits, such as the supreme degree of design freedom and the viability of tool-free production directly from CAD data. However, the current technological applications of SLM and investment casting are crucial for producing parts at the desired quality and reliability. This review article focuses on comparative studies of SLM and investment casting at the current technology level. The basis of comparison via systematic approach is mechanical characterization; quality in terms of porosity, microstructure, surface roughness and dimensional accuracy; and residual stress. Therefore, the latest open scientific sources published are considered to obtain sufficient literature coverage. Better tensile strength and fine microstructure are found in SLM, while better surface quality, fatigue load resistance, ductility, and residual stress are found in investment casting. The research gap for further investigation is indicated.

show abstract

State‐of‐the‐Art Overview and Recent Trends in Additive Manufacturing: Opportunities, Limitations, and Current Market

Cited by 3 publications

References 31 publications

Leather Defect Detection Method in Clothing Design Based on TDENet

Leather Defect Detection Method in Clothing Design Based on TDENet

From Unregulated Networks to Designed Microstructures: Introducing Heterogeneity at Different Length Scales in Photopolymers for Additive Manufacturing

Critical Review of Comparative Study of Selective Laser Melting and Investment Casting for Thin-Walled Parts

Contact Info

Product

Resources

About