{"version":"1.0","provider_name":"PHIMECA","provider_url":"https:\/\/www.phimeca.com\/en\/","author_name":"Thibaud MARTIN","author_url":"https:\/\/www.phimeca.com\/en\/news\/author\/tmartin\/","title":"Processing of case-hardening steel grades database - PHIMECA","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"E7XsA0EAkA\"><a href=\"https:\/\/www.phimeca.com\/en\/application-cases\/processing-of-case-hardening-steel-grades-database\/\">Processing of case-hardening steel grades database<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.phimeca.com\/en\/application-cases\/processing-of-case-hardening-steel-grades-database\/embed\/#?secret=E7XsA0EAkA\" width=\"600\" height=\"338\" title=\"&#8220;Processing of case-hardening steel grades database&#8221; &#8212; PHIMECA\" data-secret=\"E7XsA0EAkA\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.phimeca.com\/wp-content\/uploads\/2025\/03\/steel-4692910_1280.jpg","thumbnail_width":1280,"thumbnail_height":853,"description":"The time taken to develop new alloys is often very long, and there is no guarantee that the field of the possible will be explored or that an alloy with maximised performance will be obtained. The use of Artificial Intelligence makes it possible to reduce the time taken to design and bring new alloys to market, while significantly reducing the amount of material required for alloy development."}