A Review on Bone Regeneration via Porosity Development Using Smart Manufacturing Techniques

Author(s):  
Mahesh Chaudhary ◽  
Jinesh Kumar Jain ◽  
Toshit Jain

The paper focusses on providing the awareness of smart manufacturing utilizing simulation through modelling in order to facilitate data analytics. Data analytics related to manufacturing will prove its noteworthy benefits to processes involved in industry. Models simulated for manufacturing techniques can be utilized to facilitate data analytics in numerous ways. The provision offered in Mastercam offer programmers to support models simulated to various sectors like logistics, management, transportation, health systems and manufacturing making simulation tool a popular one. It provides three types of stages of process knowledge namely a machine level, a shop level and a universal level. The universal level is related to the knowledge of a process independent of machine or individual shop which facilitates the process. Furthermore, analogous process knowledge like shape capabilities of machining and manufacturing processes offers to progress processes involved in manufacturing through Mastercam.


Author(s):  
J.B. Sá de Farias ◽  
S. Marabuto ◽  
M.A.B.E. Martins ◽  
J.A.F Ferreira ◽  
A. Andrade Campos ◽  
...  

The current world’s economical crisis raised the necessity from the industry to produce components cheaper and faster. In this sense, the importance of smart manufacturing techniques, proper articulation between CAD/CAM techniques and integrated design and assessment becomes critical. The Single Point Incremental Forming (SPIF) process represents a breakpoint with traditional forming processes, and possibly a new era in the small batches production or customized parts, being already used by automotive industry for light components. While classical stamping processes need a punch, a die, a holder and a press, in the SPIF process the final geometry is achieved incrementally through the action of a punch with a spherical head. Since the blank is clamped at the edges, there is no need to employ a die with the shape of the final part. However, this process must be further improved in terms of speed and dimensional accuracy. Because the process is cheap and easy to implement, it is currently the subject of intensive experimental and numerical research, but yet not deeply understood. This chapter gives an overview on the techniques currently being employed to optimize the process feasibility.


Author(s):  
Vishnu Kumar ◽  
Vijay Srinivasan ◽  
Soundar Kumara

Abstract Healthcare experts have come to a consensus that effective and safe vaccines are necessary to control the rapid spread of the ongoing COVID-19 pandemic across the globe. Since the traditional vaccine development and manufacturing approaches were unable to meet the rapidly growing COVID-19 vaccine demand, biopharmaceutical firms had to devise novel and smart techniques to boost the development, production, and distribution of COVID-19 vaccines in large-scale with lightning speed. This triggered their transition to smart vaccine manufacturing approaches using novel viral vector and nucleic acid biotechnology platforms. This paper tries to explore this rationality of the biopharmaceutical industry by comparing the traditional and the novel biotechnology platform-based vaccine manufacturing techniques and reviewing the COVID-19 vaccine manufacturing scenarios. To highlight the “smart” characteristics of the novel platform-based COVID-19 vaccine products and to make effective comparison with the traditional products, a well-established product classification framework is used as a reference. Finally, the study concludes by presenting the future possibility of incorporating smart manufacturing paradigms with the novel platform-based manufacturing process. It is hoped that this study would serve as an asset for the biopharmaceutical firms to appropriately streamline their strategies, resources, and goals to meet the global vaccine requirements.


Designs ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 13 ◽  
Author(s):  
Javaid Butt

Innovative technologies allow organizations to remain competitive in the market and increase their profitability. These driving factors have led to the adoption of several emerging technologies and no other trend has created more of an impact than Industry 4.0 in recent years. This is an umbrella term that encompasses several digital technologies that are geared toward automation and data exchange in manufacturing technologies and processes. These include but are not limited to several latest technological developments such as cyber-physical systems, digital twins, Internet of Things, cloud computing, cognitive computing, and artificial intelligence. Within the context of Industry 4.0, additive manufacturing (AM) is a crucial element. AM is also an umbrella term for several manufacturing techniques capable of manufacturing products by adding layers on top of each other. These technologies have been widely researched and implemented to produce homogeneous and heterogeneous products with complex geometries. This paper focuses on the interrelationship between AM and other elements of Industry 4.0. A comprehensive AM-centric literature review discussing the interaction between AM and Industry 4.0 elements whether directly (used for AM) or indirectly (used with AM) has been presented. Furthermore, a conceptual digital thread integrating AM and Industry 4.0 technologies has been proposed. The need for such interconnectedness and its benefits have been explored through the content-centric literature review. Development of such a digital thread for AM will provide significant benefits, allow companies to respond to customer requirements more efficiently, and will accelerate the shift toward smart manufacturing.


2020 ◽  
Vol 48 (3) ◽  
pp. 755-764
Author(s):  
Benjamin B. Rothrauff ◽  
Rocky S. Tuan

Bone possesses an intrinsic regenerative capacity, which can be compromised by aging, disease, trauma, and iatrogenesis (e.g. tumor resection, pharmacological). At present, autografts and allografts are the principal biological treatments available to replace large bone segments, but both entail several limitations that reduce wider use and consistent success. The use of decellularized extracellular matrices (ECM), often derived from xenogeneic sources, has been shown to favorably influence the immune response to injury and promote site-appropriate tissue regeneration. Decellularized bone ECM (dbECM), utilized in several forms — whole organ, particles, hydrogels — has shown promise in both in vitro and in vivo animal studies to promote osteogenic differentiation of stem/progenitor cells and enhance bone regeneration. However, dbECM has yet to be investigated in clinical studies, which are needed to determine the relative efficacy of this emerging biomaterial as compared with established treatments. This mini-review highlights the recent exploration of dbECM as a biomaterial for skeletal tissue engineering and considers modifications on its future use to more consistently promote bone regeneration.


2008 ◽  
Vol 68 (S 01) ◽  
Author(s):  
S Mohr ◽  
BC Portmann-Lanz ◽  
A Schoeberlein ◽  
R Sager ◽  
DV Surbek

Author(s):  
Chelsea Ritter ◽  
Beda Barkokebas ◽  
Youyi Zhang ◽  
Mohamed Al-Hussein

Sign in / Sign up

Export Citation Format

Share Document