21 research outputs found
Engineering design of woven fabrics—A recent approach
315-322The fabric engineering is still largely based on experience and trial and error. The major task
is to develop comprehensive and
user- friendly program
packages with database on fibre, yarn and fabric properties by the application of fabric objective measurement technology, a knowledge-based
expert system to provide graphical tools and numerical solutions for the fabric designer and engineer to meet the needs of
fabric manufacturers. Compared to mathematical
modeling, artificial neural
network can be a powerful tool to model the non -linearities and complexities involved in the predictions of fabric proprieties. Artificial neural network embedded
expert system can be developed to aid in engineering the
design of woven fabric
Engineering design of polyester-viscose blended suiting fabrics using radial basis function network: Part I — Prediction of fabric low-stress mechanical properties
401-408A
complete engineering design of polyester-viscose blended suiting fabrics has
been presented using radial basis function neural network algorithm. Fabric
low-stress mechanical properties, such as extension, bending rigidity, shear rigidity,
breaking strength have been predicted from the structural parameters of the
fabric such as weave, yarn tex,
thread
density,
crimp, fabric mass and fabric cover. It is observed that the radial basis
function neural network could successfully predict the trends in variation of
fabric property with corresponding change in structural parameters
Engineering design of polyester-viscose blended suiting fabrics using radial basis function network: Part II—Prediction of fabric constructional parameters from its properties
489-495The application of artificial neural network
approach to re-engineer the design of woven polyester-viscose blended suiting
fabric to be used by the weavers has been described. The fabric constructional
parameter have been predicted for specific fabric property requirements using
the same network with an approach called reverse engineering. It is observed that
the radial basis function neural network could successfully predict the trends
in variation of fabric constructional parameters. Evaluation of the model for each
fabric property specification shows good agreement between predicted and generally
accepted fabric and yarn structure-property relationships
Ecological Analysis to Study Association between Prevalence of Smokeless Tobacco Type and Head-and-Neck Cancer
Flexural strength of surface-treated heat-polymerized acrylic resin after repair with aluminum oxide-reinforced autopolymerizing acrylic resin
Background: A fracture of denture base in situ often occurs through a fatigue mechanism, which over a period of time leads to the formation of small cracks, resulting in fracture. Aim and Objective: To evaluate the flexural strength of repaired heat-polymerized acrylic resin, with different percentage of aluminum oxide (Al2O3) added to the repair resin and effect of two different surface treatments on the flexural strength of repaired heat-polymerized acrylic resin and also to evaluate quantification of filler particles using scanning electron microscopy. Materials and Methodology: Fifty specimens of heat-polymerized acrylic resin were prepared according to the American Dental Association specification no. 12 (65 mm × 10 mm × 2.5 mm). Al2O3<50 nm particle size was silanized using metal alloy primer before incorporation in polymer. Two different percentages of Al2O3nanoparticles, that is, 1% and 1.5% were added to autopolymerizing acrylic resin which was used as repairing material. Results: The study showed that repair resin incorporated with 1.5% Al2O3in the group surface treated with silicon carbide paper improved the flexural strength of denture base resin. A proper filler distribution and deep penetration within the polymer matrix were observed by scanning electron microscope in the same group
Metastatic tumors to the jaw bones: Retrospective analysis from an Indian tertiary referral center
Aim: Being a tertiary referral center, we encounter the highest number
of oral cancer patients in India, and there is direct involvement of
the jaw bone in approximately 40% of these cases. There are no large
case series from the Indian subcontinent on metastatic tumors to the
jaw bones. With this retrospective analysis, we intend to estimate the
incidence of this rare manifestation in the jaw bones in our patients
and compare it with the available literature. Materials and Methods:
All patients with biopsy proven metastatic disease involving jaw bones
having complete clinical data were included. Results: Nineteen out of
10,411 oral cancer patients who reported between the years 2000 and
2005 were included. Breast and thyroid malignancies (5/19 each) were
commonest in the females to metastasize to the mandible, whereas in the
males, there was no predominant site that resulted in jaw bone
metastasis, although mandible was commonly affected. Neuroblastoma of
adrenal gland metastasized to maxilla in the age group ranging from 4
months to 16 years. Maxilla was the commonest jaw bone affected in this
age group. In five cases, jaw bone was found to be the first site of
metastasis. Conclusions: There is variation in the primary site that
causes metastasis to the jaw bones depending on age, sex and geographic
distribution. Jaw bone metastases are rare and can be the first site of
metastasis. We get approximately four cases in a year with metastatic
disease manifesting in the jaw bones. Metastasis to jaw bone is
associated with poor prognosis
Metastatic tumors to the jaw bones: Retrospective analysis from an Indian tertiary referral center
Aim: Being a tertiary referral center, we encounter the highest number
of oral cancer patients in India, and there is direct involvement of
the jaw bone in approximately 40% of these cases. There are no large
case series from the Indian subcontinent on metastatic tumors to the
jaw bones. With this retrospective analysis, we intend to estimate the
incidence of this rare manifestation in the jaw bones in our patients
and compare it with the available literature. Materials and Methods:
All patients with biopsy proven metastatic disease involving jaw bones
having complete clinical data were included. Results: Nineteen out of
10,411 oral cancer patients who reported between the years 2000 and
2005 were included. Breast and thyroid malignancies (5/19 each) were
commonest in the females to metastasize to the mandible, whereas in the
males, there was no predominant site that resulted in jaw bone
metastasis, although mandible was commonly affected. Neuroblastoma of
adrenal gland metastasized to maxilla in the age group ranging from 4
months to 16 years. Maxilla was the commonest jaw bone affected in this
age group. In five cases, jaw bone was found to be the first site of
metastasis. Conclusions: There is variation in the primary site that
causes metastasis to the jaw bones depending on age, sex and geographic
distribution. Jaw bone metastases are rare and can be the first site of
metastasis. We get approximately four cases in a year with metastatic
disease manifesting in the jaw bones. Metastasis to jaw bone is
associated with poor prognosis