£167.69

Elsevier Data Science in Metal Forming

Name: Data Science in Metal Forming
Brand: Elsevier
Price: 167.69 GBP
Availability: InStock

Civil Engineering

About as cheap as it gets. The only time it was cheaper was 1 month ago.

£168 today · all-time low £168 (Jun 2026) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 16 days · 16 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 16 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £171 (11 days, 68.8%)

Price range: £168 - £171

Price levels: 2 different prices over 16 days

Description

Data Science in Metal Forming provides readers with a framework to collect, visualize, analyze, and characterize metal forming metadata, thus enabling improved design, more efficient production, and more effective application of a range of metals. Chapters introduce concepts and discuss industry 4.0, digital manufacturing, and more. Other sections feature case studies of metal forming data collection spanning several essential procedures and outline methods for data processing when lacking essential information. The book also includes data visualization techniques, insights into how to analyze data from various metal forming processes (stamping, hydroforming, incremental, extrusion, and more) and details on how readers can setup, manage, and most effectively apply their own data repositories. Demonstrates effective data collection processes for metal forming Outlines how to visualize, process, analyze, and characterize this data, with a goal of better design, production, and application of various metals Discusses how to process and characterize information where there are missing data elements Provides guidance on how to setup and effectively manage metal forming data repositories

Product Specifications

Brand: Elsevier
Format: paperback
ASIN: 0443291454
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Civil Engineering
Domain: Amazon UK
Release Date: 25 July 2025
Listed Since: 04 December 2024

Barcode

No barcode data available

Elsevier Data Science in Metal Forming

About as cheap as it gets. The only time it was cheaper was 1 month ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Computational Materials Science

Artificial Intelligence: Data and Model Safety

Simulation and Machine Learning Models for Energy Policy Design

Fatigue in Additive Manufactured Metals (Additive Manufacturing Materials and Technologies)

Hydrogen Embrittlement in Metals and Alloys

Experiments and Simulations in Advanced Manufacturing (Materials Forming, Machining and Tribology)

Fundamentals of Metallurgical Thermodynamics

Metallurgy and Design of Alloys with Hierarchical Microstructures

Nano and Microstructural Design of Advanced Materials

Fabricating Plasticity in Aluminum

Additive Manufacturing Materials and Technology

Rheology of Paste in Metal Mines

Machine Learning in 2D Materials Science

Functional Equations in Applied Sciences

Advanced Materials for Battery Separators

Process Safety Management

Metal Plasticity: Experimental Characterization and Constitutive Modeling (Elsevier Series on Plasticity of Materials)

Advanced Machining Science

Tribological Technology in Sheet Metal Forming (Materials Forming, Machining and Tribology)

Phase Change Materials for Heat Transfer

Drill Bits for Energy Industry

Analysis and Optimization of Sheet Metal Forming Processes

Metal Chalcogenides for Energy Storage

Fundamentals of Computational Methods for Engineers