Training Requirements

Cohort is of Post Doctoral Scholars who are working with large core engineering/ manufacturing company.They work in business on process improvement etc as well as they are working on developing a new product that can be launched. Currently the organization is working on upskilling them with all skills that can help them in this project of developing a new product. Outcomes from program- Build a project budget from scratch Estimate CAPEX and OPEX for a process or facility Forecast expenses over a project lifecycle Understand financial viability of technologies Interpret key Techno economical analysis and investment metrics Make informed technical decisions considering economics More info on Techno Economical Analysis which needs to be covered: Introduction to Techno-Economic Analysis (TEA) What is TEA? A methodology that combines: Process engineering Cost estimation Market economics to determine whether a technology is commercially feasible. TEA Workflow Research Idea ↓ Process Design ↓ Mass & Energy Balance ↓ Equipment Sizing ↓ CAPEX Estimation ↓ OPEX Estimation ↓ Revenue Estimation ↓ Profitability Assessment Fundamentals of Project Budgeting CAPEX and OPEX Estimation Expense Forecasting & Cash Flows TEA Methodology Financial Metrics (NPV, IRR, PAT, MSP, ROI) Sensitivity Analysis & Case Study

Client wants a practitioner in AI-assisted software development: using AI tools across the development life cycle, current tools and practices, and keeping code quality high. Hands-on experience with today's AI coding tools is a must.

Trainer needs to have hands-on experience of Agile and Scrum in software engineering teams. They should be able to run practical, workshop-style sessions based on real scenarios. Certifications such as PSM, PSD, ICAgile or SAFe are a plus.

1. APQP, PFMEA, DOE & robust process launch 2. Ramp-up capacity, OEE, SMED & material flow 3. MES, process-data integrity & predictive quality

1. HMC/VMC programming, fixtures & tool-life control 2. Foundry furnace, refractory & utility reliability 3. CNC reliability, geometry & maintenance diagnostics 4. Automation, robot recovery & verified energy isolation

1. Casting NDT technique & defect disposition 2. GD&T, CMM, gauges & measurement assurance 3. SPC, capability & casting quality reaction plans 4. Customer quality, special processes & part genealogy

1. Knockout, fettling & surface integrity 2. Qualified aluminium casting repair

1.Alloy chemistry & melt-quality control 2. Heat-treatment, pyrometry & distortion control 3. Metallurgy laboratory & casting failure analysis

Training Topic 1 - Sand, core & mould process qualification Sand preparation: Identify sand system; GFN, temperature, binder & relevant test controls Moulding: Compaction, hardness, vents, repair, joint sealing & closing Core making: Binder dosing, mixing, curing, strength, venting & storage Mould & core coating: Density or viscosity, coverage, drying & dryness verification Thermal management: Mould/core temperature, metal temperature & transfer interaction Training Topic 2 - Aluminium melt preparation, treatment & pouring Charge preparation: Alloy segregation, clean dry returns, charge calculation & contamination Melting, Melt Treatment, Pouring, Molten-metal safety, Oxide/bifilm control, Inclusion control, Filter technology, Metal recovery

Training Topic 1 - Casting DFM, pattern & configuration engineering Pattern engineering: Shrinkage, machining allowance, draft, core prints & revision checks NPD casting development: DFM, trial planning, DOE, validation & lessons learned Casting DFM: Wall transition, fillets, ribs, draft, feeding & machining feasibility Configuration control: Drawing revision, method/program revision & authorised change Training Topic 2 - Filling, feeding & solidification simulation Casting simulation: Mesh adequacy, filling, solidification, hot spots & trial correlation Gating & risering: Runner, ingate, feeder modulus, chills & directional feeding Solidification control: Chill position, feeder effectiveness & cooling sequence Solidification engineering: Modulus, gradient, feeding distance, chill contact & hot spots Advanced simulation: Boundary conditions, sensitivity, validation & iteration Casting yield improvement: Good casting weight vs poured weight, feeder & gating optimisation