Increasing the Deep Drawability of Al-1050 Aluminum Sheet using Multi-Point Blank Holder

Aluminum alloys have been widely used in the fields of automobile and aerospace industries. Due to their bad cold-formability in deep drawing, a lot of forming methods have been implemented to increase the drawing height and the limiting drawing rate (LDR). The conventional deep drawing process is limited to a certain limit drawing ratio beyond which failure will ensue. The purpose of this experimental study is to examine the possibilities of increasing this limitation using the multi-point blank holder. The results from the experiments showed that the multi-point blank holder is effective way to promote deep drawability of Al-1050 sheet

A NOVEL METHOD TO IMPROVE SURFACE QUALITY IN CYLINDRICAL GRINDING

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Nanoparticles for Cancer Therapy: Current Progress and Challenges

AbstractCancer is one of the leading causes of death and morbidity with a complex pathophysiology. Traditional cancer therapies include chemotherapy, radiation therapy, targeted therapy, and immunotherapy. However, limitations such as lack of specificity, cytotoxicity, and multi-drug resistance pose a substantial challenge for favorable cancer treatment. The advent of nanotechnology has revolutionized the arena of cancer diagnosis and treatment. Nanoparticles (1–100 nm) can be used to treat cancer due to their specific advantages such as biocompatibility, reduced toxicity, more excellent stability, enhanced permeability and retention effect, and precise targeting. Nanoparticles are classified into several main categories. The nanoparticle drug delivery system is particular and utilizes tumor and tumor environment characteristics. Nanoparticles not only solve the limitations of conventional cancer treatment but also overcome multidrug resistance. Additionally, as new multidrug resistance mechanisms are unraveled and studied, nanoparticles are being investigated more vigorously. Various therapeutic implications of nanoformulations have created brand new perspectives for cancer treatment. However, most of the research is limited to in vivo and in vitro studies, and the number of approved nanodrugs has not much amplified over the years. This review discusses numerous types of nanoparticles, targeting mechanisms, and approved nanotherapeutics for oncological implications in cancer treatment. Further, we also summarize the current perspective, advantages, and challenges in clinical translation.</jats:p

Artificial Intelligence and Machine Learning in Medicinal Chemistry and Validation of Emerging Drug Targets

Artificial learning and machine learning are playing pivotal roles in the society, especially in the field of medicinal chemistry and drug discovery. Particularly its algorithms, neural networks, or other recurrent networks drive this area. In this review, the authors have taken into account the diverse use of AI in a number of pharmaceutical industries including discovery of drugs, repurposing, development of pharmaceutical drugs, and clinical trials. In addition, the efficiency of these artificial or machine learning programs in achieving the target drugs in short time period along with accurate dosage and cost of the drug have also been discussed. Numerous applications of AI in property prediction such as ADMET have been used for prediction of strength of this technology in QSAR. In case of de-novo synthesis, it results in generation of novel drug molecules with unique design making this a promising field for drug design. Moreover, its involvement in synthetic planning, ease of synthesis, and much more contribute to automated drug discovery in the near future. </jats:p

Study on forming tool module with variable stiffness blank-holder for applications in high strength steel and laser welding parts

This study presents experimental and numerical results of a development prototype tool that includes blank-holder plates of variable stiffness. The application is analyzed for high-strength steel parts and tailor welded blanks manufactured from dissimilar steel grades using laser welding. A numerical model was constructed within the Ansys software platform incorporating appropriate material constitutive models parameters for high-strength Dual-Phase steels. The obtained results show a positive control of springback geometries. Experimental tests were performed on the relevant geometries. The presented numerical and experimental results constitute a validation of a variable-stiffness blank-holder approach for this particular case study.The funding support from Project I&DT AdvancedTOOLING CENTRO-01-0247- FEDER-011399 is acknowledged