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This document discusses material handling and provides an overview of key considerations and principles for designing an effective material handling system. It describes the goals of material handling as reducing costs while maintaining quality and productivity. An overview of common material handling equipment is given, including transport equipment, storage systems, and unitizing/tracking technologies. Key considerations in system design are the material characteristics, flow rate, and plant layout. Principles outlined include planning, integrating systems, simplifying processes, utilizing gravity, standardizing equipment, reducing weight, and incorporating maintenance and capacity needs.
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This document discusses principles and considerations for material handling system design. It defines material handling as moving materials efficiently and outlines goals like reducing costs, improving quality and safety. It describes common material handling equipment like conveyors, cranes, storage systems and trucks. Key factors in system design are material characteristics, flow rates and plant layout. Design principles include planning the system holistically, utilizing gravity, standardizing equipment, reducing unnecessary movement and optimizing space, units loads and automation. Maintenance and matching capacity to production goals are also emphasized.
The document discusses the bakery industry. It covers topics like the types of bakeries, factors to consider for location selection, food plant layout design, labor facilities, production methods, safety, maintenance, waste management, modernization, and transportation. The key points are that the bakery industry has grown due to changing consumption patterns and westernization. Location selection requires consideration of marketing, infrastructure, and labor. Production involves processes like mixing, proving, baking and cooling. Safety risks include machinery, burns, and hazardous substances. Wastewater treatment may involve pretreatment, screening, and coagulation-flocculation. Modernization and transportation help improve quality and connect producers to consumers.
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The document discusses various aspects of production including different types of production processes, the role of technology, and the job of a production manager. It describes mass production, flexible production, and customer-driven production. Production managers are responsible for planning production, determining facility layouts, implementing plans through inventory control and supplier selection, and controlling the production process.
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For the past twenty-five years, Americans have embraced recycling as an important measurement of environmental performance. The idea that more recycling must be better has spurred the widespread adoption of zero waste goals, developed with the best intentions. However, a focus on recycling as many tons as possible does not always take into account the whole picture of the environmental impact of waste. Join this session to understand how a lifecycle thinking approach can help you develop waste goals and programs for your company that will achieve the greatest environmental benefits and business results.
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- Grid electricity and methane emissions contribute most to the carbon footprint at processing factories.
- Particle size reduction and drying were identified as areas for improvement to reduce costs and energy usage.
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Global South-South Expo
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This document summarizes a webinar lecture on chemical engineering given to the Nigerian Society of Chemical Engineers. It discusses the importance of first principles thinking and technical skills for chemical engineers. It provides examples of how chemical engineering principles can be applied to projects in areas like process design, pipeline design, and optimization of shuttle tanker fleets. The document also outlines typical job descriptions and requirements for chemical engineering roles, and lists industries where chemical engineers are employed, including pharmaceuticals, energy, and consulting.
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Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
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
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
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.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
A review on techniques and modelling methodologies used for checking electrom...
Process engineering for appropriate technology development
1. Career & Capacity Building
Process Engineering for Appropriate
Technology
With Engr. Akachidike Kanu
Webinar Lecture presented to:
FUTY (Fed Univ ofTechYola Nigeria) Alumni Group
2. Industrialization
• Industrialization: the development of
industries in a country or region on a
wide scale – Oxford Dictionary
• Industry: large-scale business activity
or a type of productive manufacture or
trade
Process enablers
1. Industrialize an agricultural region
(policy)
2. Produce/supply processed agro
products on a large scale (business)
3. Study, design and operate fertilizer
plant (engineer)
3. Industrial Process Engineering
• Process Engineering: processes and equipment for
turning raw materials (feed) into product. Essential
part of many industries – manufacturing, utilities,
energy, mining, supply chain, healthcare, etc.
• Chemical Engineering: …emphasis on change of state
and composition of matter in a controlled process
• Manufacturing engineering: …emphasis on
machining/ assembling (screws, bolts, welds, glues,
rivets) individual pieces into a distinct product
• Industrial Engineering: …optimizing integrated
systems of people, money, knowledge, information,
equipment, energy and materials.
4. Technical Systems Framework
Economic
Driver
Scientific Principle Engineering Method
Batch -
Continuous
Processing
Flow processes – steady &
transient
Flow conditions (PVT)
Fluidization, EOS, Stokes’
Law, Simulation
Scale-Up Rate laws, Unit Operations, Mass,
energy & momentum transfer
Mass & Energy balances,
Process modeling, etc
Safety Process control &
instrumentation, time transient
processing
HAZOP, SIL, ALARP, statics,
etc.
Efficiency &
Economics
Profitability, Synergies,
Economies of scale
DCF, Cost functions, MEFS,
Cost-Benefit Analysis, Pinch
Quality Integration, Loss prevention Poka-Yoke, Agile
Operational
Excellence
Optimization, Loss Prevention Lean, Operations research
5. Assets Lifecycle
Original (modified) data from Kristina Eisen, et al, Current and future
requirements to industrial analytical infrastructure
Upstream - Midstream
Downstream – intermediates and end-
products manufacturing
Build
Operate
Decomm
6. Potent industries
• Grain and root crop processing (Garri, yam,
plantain, processing)
• Extracts and concentrates (Fruit and vegetable
juices, nutritional supplements, etc)
• Ingredients processing (Egusi shelling, ukwa, etc)
Case Study: Food Processing – Massive opportunity area
• High demand for food produce and products
• Alarming high cost of food in Nigeria
• Low productivity in produce value chains
7. Case Study: Food Processing – Process System Approach
Size reduction Filtration Clarification Drying Packaging
Extraction
“Poundo yam” processing plant in Ibadan (1998)
• Size reduction (Cutter) and dryer
• Packaging
Garri processing plant in Ibadan (1998) (Proposal)
• Size reduction (grinding)
• Filter, dryer, furnace
• Packaging
8. Case Study: Food processing - Antidote to high cost of produce
Nigeria India
Bread
1 loaf
$0.86
₦299.16
$0.41
₹26.44
-52.4%
Local cheese (500 grams) $2.08
₦723.16
$2.47
₹158.97
+18.3%
Milk (1 liter) $1.84
₦639.80
$0.63
₹40.36
-66.0%
Eggs
1 dozen
$1.31
₦454.10
$0.87
₹55.92
-33.7%
Boneless chicken breast (1 kg) $4.11
₦1,424.55
$3.00
₹193.30
-27.0%
Apples (1 kg) $3.84
₦1,333.92
$1.76
₹113.48
-54.2%
Bananas (1 kg) $1.88
₦651.00
$0.69
₹44.72
-63.0%
Oranges (1 kg) $1.94
₦671.85
$0.95
₹60.95
-51.2%
Tomatoes (1 kg) $1.90
₦660.87
$0.45
₹29.14
-76.3%
Potatoes (1 kg) $1.82
₦631.78
$0.34
₹21.62
-81.6%
Onions (1 kg) $1.02
₦354.13
$0.45
₹28.86
-56.1%
Average -49.4%
9. Cases Study: Energy, Fuels & Chemicals – National Imperative
• Record flares
• Foreign dominated
upstream -
midstream
development and
operations
• Biofuels and biomass
fuels processing
• Gas processing &
petrochemical
• Agro Chemicals
(herbicides)
Gas to Methanol Plant (2016)
Production of Methanol from
natural gas
Challenging monetization options
Strong market demand
Prod CuH2SO4.5H2O (2000)
• Strong market demand
• Challenging scale-up
• Scrap copper + dilute H2SO4
(catalyzed)
• Filtration
• Crystallization
• Packaging
12. MeOH Offgas
CH3OH 0.997 0.01
CO2 0.06
CO 0.21
C1 0.003 0.04
H2 0.51
H2O 0.00
Other 0.17
Total 1.000 1.00
MeOH Offgas Sygas
Mass flow (ton/day) 4,800.00 1,524.98 6,324.98
Product
CO2 0.01
N2 0.06
C1 0.80
C2 0.07
C3 0.03
iC4 0.01
nC4 0.01
iC5 0.00
nC5 0.00
Total 1.00
Feed Gas
Syngas
Crude
MeOH
Case Study: Plant Design - Concept Definition
13. Feedstock Qty Ref
HHV (MBTU/Mscf) 1,102 DAT
Feedstock (MMBtu/t) 28.00 MMSA
Process Net Fuel (MMBtu/t) 5.50 MMSA
Direct Cost Structure Qty $/ton Reference
Variable OPEX
Boiler Feedwater Makeup (m3/t) 0.75 0.50 MMSA
Cooling Water Makeup (m3/t) 8.05 0.10 MMSA
Catalyst per ton 1.75 1.80 MMSA
Electricity (kWh/t) 134.62 MMSA, NTNU
Power generator heat rate (BTU/kWh) 10,408 EIA
Fixed OPEX
Labour ($/t) 4.00 MMSA, Turton
Plant Inspection, Maintenace and SGA ($/t) 12.00 MMSA
Freight to Market ($/t/km) 0.003 MMSA
Marine Facilities Maintenance (M$/yr) 0.70 Questor
CAPEX
Plant ISBL Direct CAPEX (M$/ton/day) 0.27 DAT
Indirect Cost Coeficients (DAT)
Owner´s Cost
Facilities Abandonment
Insurance (OPEX)
Contingency
Plant Specifications
Plant capacity (ton/day) 5,170
Reformer type Combined
Onstream days/year 350
Feed gas plateau year 2023
Distance to Market (coast to coast) (km) 7,200
Case Study: Plant Design - Proof of Commerciality
14. Textile Manufacture
• Pre colonial weaving industry (Akwete)
• Post colonial products importation
from Holland and Asia
• The Asian industries boom
• Where are we now?
Case Study: Local Crafts & Tech
Distilleries
• World famous champagne market
• Local gin market
• Ogogoro, Kaikai & brukutu brews and
distilleries
• What’s lacking….?
• ….Process Engineering !!