Design and fabrication of gear testing rig Kandhan Siva
It is a Testing rig designed, controlled by Arduino board via computer interfaced with Microsoft excel to find the life cycle of the Composite gears on basis of its glass transition temperature (Tg) at given torque and RPM.
CarbonForce is an innovative grinding wheel core for vitrified cBN wheels. Made up of innovative carbon fibre reinforced polymers, the new wheels are up to 75% lighter in weight than standard diamond grinding wheels, enabling easy operator handling.
Design and fabrication of gear testing rig Kandhan Siva
It is a Testing rig designed, controlled by Arduino board via computer interfaced with Microsoft excel to find the life cycle of the Composite gears on basis of its glass transition temperature (Tg) at given torque and RPM.
CarbonForce is an innovative grinding wheel core for vitrified cBN wheels. Made up of innovative carbon fibre reinforced polymers, the new wheels are up to 75% lighter in weight than standard diamond grinding wheels, enabling easy operator handling.
FMS Layout for Manufacturing of Marine GearsSomesh Saurabh
This is a complete presentation on Manufacturing and FMS layout for Marine Gears which are Helical, Spiral Bevel and Conical Bevel. It includes manufacturing, heat treatment process, FMS and testing also.
ASME IGTI presentation on Paper GT2018-75555: Extreme high-temperature compliant foil bearing technology demonstrated to 870°C (1600°F). Authors: Hooshang Heshmat, Ph.D. and James F. Walton, II of Mohawk Innovative Technology in Albany, NY, and Brian D. Nicholson, Air Force Research Laboratory in Dayton, OH .
Industrial training is considered as one of the most essential part of engineering and
technical education. This training is included in our graduation program to introduce us
with the practical implementation of the technology that we have studied in our courses.
So, it is very helpful, lays the milestone for starting the carrier for fresh textile graduates
and helps to gain self-confidence and discover one’s own ability.
For any technical education, practical experience is equally necessary in association with
the theoretical knowledge. The industrial attachment is the most effective way to achieve
this practical experience. It provides sufficient practical knowledge about production
management, worker’s productivity, evaluation, work study, efficiency, industrial
management, production planning & control, inventory control, purchasing, utilities and
maintenance of machinery and their operation techniques etc. Like other engineering
fields, industrial attachment is also necessary for textile engineering.
Authors got an opportunity to complete 8 weeks long industrial training and they were
sent to Mosharaf Composite Textile Mills Ltd. They have done their training by gathering
information about various dept. in that mill. On the basis of that training the following
report has been prepared.
FMS Layout for Manufacturing of Marine GearsSomesh Saurabh
This is a complete presentation on Manufacturing and FMS layout for Marine Gears which are Helical, Spiral Bevel and Conical Bevel. It includes manufacturing, heat treatment process, FMS and testing also.
ASME IGTI presentation on Paper GT2018-75555: Extreme high-temperature compliant foil bearing technology demonstrated to 870°C (1600°F). Authors: Hooshang Heshmat, Ph.D. and James F. Walton, II of Mohawk Innovative Technology in Albany, NY, and Brian D. Nicholson, Air Force Research Laboratory in Dayton, OH .
Industrial training is considered as one of the most essential part of engineering and
technical education. This training is included in our graduation program to introduce us
with the practical implementation of the technology that we have studied in our courses.
So, it is very helpful, lays the milestone for starting the carrier for fresh textile graduates
and helps to gain self-confidence and discover one’s own ability.
For any technical education, practical experience is equally necessary in association with
the theoretical knowledge. The industrial attachment is the most effective way to achieve
this practical experience. It provides sufficient practical knowledge about production
management, worker’s productivity, evaluation, work study, efficiency, industrial
management, production planning & control, inventory control, purchasing, utilities and
maintenance of machinery and their operation techniques etc. Like other engineering
fields, industrial attachment is also necessary for textile engineering.
Authors got an opportunity to complete 8 weeks long industrial training and they were
sent to Mosharaf Composite Textile Mills Ltd. They have done their training by gathering
information about various dept. in that mill. On the basis of that training the following
report has been prepared.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
4. 3
■ Factory is up 312 days/year.
■ No translational motion for operators.
■ Stations sequences are Asynchronous.
■ Machine setup time is zero.
■ Minimum quantity produced/station = 1.
■ All stations are processing in sequence except pa (op420, op520, op530, op540, op550, op710).
■ Up Time = 93.9 %.
■ Factory Capacity Final Goal = 60,000 units annually (192 units/day).
Line Efficiency and Cycle Time Analysis Results
1. Capacity Goal = 30 K units annually
35. 34
In-house vs. Chrysler Factory model
30 K /year 50 K /year 60 K /year 70 K /year
In-house 860A,
860B
860A,860B 520, 140, 860A,
860B
70,110,130,520,140,850
,860A,860B
Chrysler 860A 100, 850 70 70, 110, 130
Conclusions and Recommendations
The Factory is Capable of producing 30,000 units annually with no issues, but
optimizations opportunity is available by combining the low cycle time stations
in the loops called “Main Assy, Gear Train, TBU”.
Regarding the 50,000 annual production goal; all loops are capable of achieving
that except stations called “OP860A, OP860B” are exceeding the production
Takt Time Margin, to reach the production goal; the cycle time for these stations
need to be reduced by at least 30%.
To achieve a 60,000 annual production, the pallets blocking need be cleared
from “TBU loop” by reducing cycle times of stations “OP860A, OP860B” by 40%.
Op520 and OP140 are exceeding the Takt time which need to be fixed as well.
For the stretched production goal of 70,000 units/year, “TBU Loop” stations
op860A, 860B are causing blockage, while “Main Assy Loop” stations OP70,110,
130, 520, 140, are passing Takt Margin.