Dr Alborz Shokrani

Dr Alborz Shokrani

Reader in Mechanical Engineering
Department of Mechanical Engineering
Tel: +44 (0)1225 386588
E-mail: A.Shokrani@bath.ac.uk
Twitter: @alborzshokrani

Postal Address:

Dept of Mechanical Engineering
University of Bath
Bath
BA2 7AY
United Kingdom

• Advanced Manufacturing (Machining, additive manufacturing, forming)
  
• Innovative Machining Processes (Coolant/lubricants, surface integrity, cutting tools, advanced alloys and materials for aerospace)
  
• Intelligent Manufacturing and Sensors (Machine learning in manufacturing, augmented reality, signal processing, process monitoring and control)
  
• Manufacturing Systems (Modelling and simulation, digital twinning, discrete event simulation)
  
• Sustainable manufacturing (Environmental impact analysis, recycling, life cycle assessment of manufacturing)

PhD Researchers:

Mr Erkan Tur: Sustainable manufacturing of shearing blades

Mr Ishrat Fairoz: Digital twin for costing and environmental impact analysis of wire arc additive manufacturing

Mr Dylan Drew: Intelligent repair of large mechanical components

Past team members:

Dr Hakan Dogan: SENSYCUT: Sensor Enabled Systems for Precision Cutting

Dr Busra Karas: I-Break: Landing Gear Industrial Breakthroughs

Research Graduates:

Mr Sam Costello: Robotic Wire Arc Additive Manufacturing of Large Components

Mr Samuel Omole: Machining of Refractory Metals for Plasma-facing Applications

Mr Joseph Betts: Machining of Additively Manufactured Nickel-based Superalloys

Dr Stephanie Hall: Machine learning for machining advanced materials

Dr Dan Bowen (PhD): Extending the range of die-less sheet forming processes

Dr Andrea De Bartolomeis (PhD): Cooling and lubrication technologies for machining advanced alloys

Dr Ihsan Al Samarrai (PhD): Hybrid Cooling/Lubricating Strategies for Machining Ti-6Al-4V in CNC End Milling

Mr Saeed Asghari (MPhil): Innovative Cutting Tool Design for Machining Advanced Engineering Materials

Mr David Whitton (MPhil): Design of a Cryogenic Coolant Inducer

Recent MEng/MSc projects:

Wire arc additive manufacturing of bi-metals

Tribological assessment of nanolubricants

Deep learning for direct in-situ tool condition monitoring

Deep learning for in-situ surface roughness monitoring

Environmental impact assessment of closed die forging

Sustainable Machining: LCA of cuttin tool coatings

Sustainability assessment of cutting fluids in machining

Application of deep learning for predicting tool wear condition

Application of deep learning for machining signal processing

Design of drill bits for geothermal borehole drilling

Design and testing of a next generation hand held shearing machine

Direct recycling of aluminium chips through extrusion

Investigation of a new micro-scale 3D printing machine

In-situ tool wear monitoring system

An open source machine vision for tool condition monitoring

Design of a microscopy system for cutting

Sustainable machining: Life Cycle Assessment of Cutting Fluids in Machining

Sustainable machining: Energy Efficient Machining

Signal processing and deep learning for tool wear detection in machining

Computer vision for automated tool wear monitoring

Computational modelling of cutting Ti-6Al-4V

Machine design for cutting tomato

Activity based costing of additive manufacturing using discrete event simulation

Cutting fluid accelerator

Complex machining of plasma facing tungsten

Dynamic cost modelling for advanced machining

Thermoelectric materials for manufacturing processes

Machining of additively manufacturing titanium alloy

Energy consumption in machining operations

Design and manufacture of boot pillar for Team GB short track ice skating

Equipment:

Various 3 Axis machining centres

DMG Ultrasonic 5 Axis machining centre

Cryogenic/MQL/EMQL machining

Complete suit of machining performance analysis: Kistler force dynamometer and vibration sensor, acoustic emission, contact/non-contact profilometer, laser scanner, confocal distance sensor

Hammer test/vibration analysis

Turnmill machining centre

Material prep facilities

Various optical and scanning electron microscopes

Nano and micro indentation

Micro scratch test

Atomic force microscope

SPIKE smart tool holder

Alicona g6 3D optical profiler

Anton Paar pin on disk tribometer

High speed camera (10k fps)

Thermal imaging facilities

University of Bath uses Simio simulation software under a grant from Simio LLC (www.simio.com).